docs: add SE-CoVe plugin example + resource evaluation workflow (v3.11.6)
- First plugin example: SE-CoVe (Chain-of-Verification, Meta AI ACL 2024) - Academic approach: cite paper metrics, not marketing claims - Performance table: +23-112% accuracy (task-dependent, trade-offs disclosed) - Resource evaluation template established (Perplexity fact-check workflow) - Curation policy: Academic validation + Claims verified + Costs transparent - Templates count: 82 → 83 - Architecture diagram added (visual overview of Claude Code internals) Files: - examples/plugins/se-cove.md (new plugin documentation) - claudedocs/resource-evaluations/2026-01-24-se-cove-plugin.md (evaluation report) - README.md, CHANGELOG.md, VERSION, reference.yaml (version bump 3.11.5 → 3.11.6) - guide/architecture.md + image (visual overview) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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44
CHANGELOG.md
44
CHANGELOG.md
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@ -4,6 +4,50 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
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## [3.11.6] - 2026-01-24
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### Added
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- **First plugin example: SE-CoVe (Chain-of-Verification)** (`examples/plugins/se-cove.md`)
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- Software Engineering adaptation of Meta's Chain-of-Verification methodology for Claude Code
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- Research foundation: Meta AI paper (arXiv:2309.11495), ACL 2024 Findings
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- 5-stage pipeline: Baseline → Planner → Executor → Synthesizer → Output
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- Critical innovation: Verifier operates without draft code access (prevents confirmation bias)
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- Performance metrics from research (Llama 65B): +23-112% accuracy depending on task, ~2x token cost
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- When to use: Critical code review, architectural decisions, complex debugging (when correctness > speed)
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- When NOT to use: Trivial changes, tight token budgets, exploratory coding
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- Installation via `/plugin marketplace add vertti/se-cove-claude-plugin` then `/plugin install chain-of-verification`
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- Limitations documented: Reduces hallucinations (not eliminates), model-specific (Llama 65B tested), task-dependent performance
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- Plugin System gap filled: First concrete example for Section 8.5 (previously theoretical docs only)
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- Sources: [GitHub repo](https://github.com/vertti/se-cove-claude-plugin) v1.1.1, [arXiv paper](https://arxiv.org/abs/2309.11495), [ACL Anthology](https://aclanthology.org/2024.findings-acl.212/)
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- **Plugin system YAML index entries** (`machine-readable/reference.yaml:124-132`)
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- `plugins_system: 6863` (existing section reference)
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- `plugins_commands: 6876` (command table reference)
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- `plugins_marketplace: 6890` (marketplace management reference)
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- `plugins_recommended: "examples/plugins/"` (new directory)
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- `plugins_se_cove: "examples/plugins/se-cove.md"`
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- `chain_of_verification: "guide/methodologies.md:165"` (methodology reference)
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- `chain_of_verification_paper: "https://arxiv.org/abs/2309.11495"`
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- `chain_of_verification_acl: "https://aclanthology.org/2024.findings-acl.212/"`
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- **Resource evaluation documentation** (`claudedocs/resource-evaluations/2026-01-24-se-cove-plugin.md`)
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- Complete evaluation workflow: Fetch → Gap Analysis → Technical Writer Challenge → Fact-Check (Perplexity) → Documentation
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- Fact-check findings: Marketing claim "28% improvement" contextualized (task-specific: 23-112%, omitted 2x cost and -26% output)
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- Curation policy established: Academic validation + Claims fact-checked + Trade-offs disclosed
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- Approach B (Neutral Academic) validated: Cite paper metrics, not marketing claims
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- Template for future plugin evaluations (reusable workflow)
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- Tools used: WebFetch (LinkedIn, GitHub, arXiv), Perplexity Pro (paper verification), Task (technical-writer challenge)
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- Confidence assessment: High (methodology), Medium (generalization), Low (marketing accuracy)
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### Changed
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- **README.md**: Templates count 82 → 83 (added SE-CoVe plugin)
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- Badge updated: `Templates-82` → `Templates-83`
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- "Examples Library" section updated (line 228)
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- Ecosystem table updated (line 377)
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- New **Plugins** subsection added after Skills (line 238)
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## [3.11.5] - 2026-01-23
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### Added
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14
README.md
14
README.md
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@ -6,7 +6,7 @@
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<p align="center">
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<a href="https://github.com/FlorianBruniaux/claude-code-ultimate-guide/stargazers"><img src="https://img.shields.io/github/stars/FlorianBruniaux/claude-code-ultimate-guide?style=for-the-badge" alt="Stars"/></a>
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<a href="./examples/"><img src="https://img.shields.io/badge/Templates-82-green?style=for-the-badge" alt="Templates"/></a>
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<a href="./examples/"><img src="https://img.shields.io/badge/Templates-83-green?style=for-the-badge" alt="Templates"/></a>
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<a href="./quiz/"><img src="https://img.shields.io/badge/Quiz-227_questions-orange?style=for-the-badge" alt="Quiz"/></a>
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</p>
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@ -64,7 +64,7 @@ Save as `CLAUDE.md` in your project root. Claude reads it automatically.
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**The problem**: Awesome-lists give links, not learning paths. Official docs are dense. Tutorials get outdated in weeks.
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**This guide**: Structured learning path with 82 copy-paste templates, from first install to advanced workflows.
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**This guide**: Structured learning path with 83 copy-paste templates, from first install to advanced workflows.
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**Reading time**: Quick Start ~15 min. Full guide ~3 hours (most read by section).
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@ -225,7 +225,7 @@ claude-code-ultimate-guide/
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</details>
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<details>
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<summary><strong>Examples Library</strong> (82 templates)</summary>
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<summary><strong>Examples Library</strong> (83 templates)</summary>
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**Agents** (6): [code-reviewer](./examples/agents/code-reviewer.md), [test-writer](./examples/agents/test-writer.md), [security-auditor](./examples/agents/security-auditor.md), [refactoring-specialist](./examples/agents/refactoring-specialist.md), [output-evaluator](./examples/agents/output-evaluator.md), [devops-sre](./examples/agents/devops-sre.md) ⭐
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@ -235,6 +235,8 @@ claude-code-ultimate-guide/
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**Skills** (1): [Claudeception](https://github.com/blader/Claudeception) — Meta-skill that auto-generates skills from session discoveries ⭐
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**Plugins** (1): [SE-CoVe](./examples/plugins/se-cove.md) — Chain-of-Verification for independent code review (Meta AI, ACL 2024)
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**Utility Scripts**: [session-search.sh](./examples/scripts/session-search.sh), [audit-scan.sh](./examples/scripts/audit-scan.sh)
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**GitHub Actions**: [claude-pr-auto-review.yml](./examples/github-actions/claude-pr-auto-review.yml), [claude-security-review.yml](./examples/github-actions/claude-security-review.yml), [claude-issue-triage.yml](./examples/github-actions/claude-issue-triage.yml)
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@ -361,7 +363,7 @@ Claude Code sends your prompts, file contents, and MCP results to Anthropic serv
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**Status**: Research preview (Pro $20/mo or Max $100-200/mo, macOS only, **VPN incompatible**)
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**Archive**: Historical versions available in git history (pre-v3.11.5)
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**Archive**: Historical versions available in git history (pre-v3.11.6)
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</details>
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@ -372,7 +374,7 @@ Claude Code sends your prompts, file contents, and MCP results to Anthropic serv
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| Repository | Purpose | Audience |
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|------------|---------|----------|
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| **[Claude Code Guide](https://github.com/FlorianBruniaux/claude-code-ultimate-guide)** *(this repo)* | Comprehensive documentation (13K lines, 82 templates) | Developers |
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| **[Claude Code Guide](https://github.com/FlorianBruniaux/claude-code-ultimate-guide)** *(this repo)* | Comprehensive documentation (13K lines, 83 templates) | Developers |
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| **[Claude Cowork Guide](https://github.com/FlorianBruniaux/claude-cowork-guide)** | Non-technical usage (67 prompts, 5 workflows) | Knowledge workers |
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| **Code Landing** *(to be deployed)* | Marketing site for Claude Code guide | Discovery |
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| **Cowork Landing** *(to be deployed)* | Marketing site for Cowork guide | Discovery |
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@ -431,7 +433,7 @@ Licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
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---
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*Version 3.11.5 | January 2026 | Crafted with Claude*
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*Version 3.11.6 | January 2026 | Crafted with Claude*
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<!-- SEO Keywords -->
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<!-- claude code, claude code tutorial, anthropic cli, ai coding assistant, claude code mcp,
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2
VERSION
2
VERSION
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@ -1 +1 @@
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3.11.5
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3.11.6
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106
examples/plugins/se-cove.md
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106
examples/plugins/se-cove.md
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@ -0,0 +1,106 @@
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---
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plugin: chain-of-verification
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marketplace: vertti/se-cove-claude-plugin
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version: 1.1.1
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license: MIT
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research: arXiv:2309.11495 (ACL 2024 Findings)
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---
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# SE-CoVe: Chain-of-Verification
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Software Engineering adaptation of Meta's Chain-of-Verification methodology for Claude Code.
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## Research Foundation
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**Paper**: "Chain-of-Verification Reduces Hallucination in Large Language Models"
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**Authors**: Dhuliawala et al. (Meta AI)
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**Published**: ACL 2024 Findings
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**Sources**: [arXiv:2309.11495](https://arxiv.org/abs/2309.11495) | [ACL Anthology](https://aclanthology.org/2024.findings-acl.212/)
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## How It Works
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5-stage pipeline ensuring independent verification:
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1. **Baseline**: Generate initial solution
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2. **Planner**: Create verification questions from solution claims
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3. **Executor**: Answer questions independently (never sees baseline)
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4. **Synthesizer**: Compare findings, identify discrepancies
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5. **Output**: Produce verified solution
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**Critical innovation**: Verifier operates without access to draft code, preventing confirmation bias.
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## Performance Metrics
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Results from Meta's research paper (Llama 65B model):
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| Task Type | Metric | Improvement | Computational Cost |
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|-----------|--------|-------------|-------------------|
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| Biography generation | FACTSCORE | +28% (55.9→71.4) | -26% output volume (16.6→12.3 facts) |
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| Closed-book QA | F1 Score | +23% (0.39→0.48) | ~2x token consumption |
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| List-based questions | Precision | +112% (0.17→0.36) | Fewer total answers |
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**Source**: Dhuliawala et al., ACL 2024 Findings (Table 1, Section 4.3)
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**Key insight**: Higher accuracy comes at cost of increased computation and reduced output volume.
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## When to Use
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### ✅ Recommended
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- **Critical code review**: Architectural decisions, security-sensitive code
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- **Complex debugging**: Multi-component failure analysis
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- **API/library integration**: When correctness > speed
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- **Acceptable 2x cost**: Token budget allows for quality premium
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### ❌ Not Recommended
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- **Trivial changes**: Simple fixes, formatting, typos
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- **Exploratory coding**: Rapid prototyping, experimentation
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- **Tight token budgets**: When cost is primary constraint
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- **Need comprehensive output**: When you need all facts, not just accurate subset
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## Installation
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```bash
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# Add plugin marketplace
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/plugin marketplace add vertti/se-cove-claude-plugin
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# Install plugin (in separate command)
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/plugin install chain-of-verification
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```
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**Note**: Commands must be pasted separately (Claude Code marketplace limitation).
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## Usage
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```bash
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# Invoke verification
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/chain-of-verification:verify <your question>
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# Autocomplete available
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/ver<Tab>
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```
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## Limitations
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From the research paper (Section 6):
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1. **Not a silver bullet**: Reduces hallucinations but does not eliminate them
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2. **Computational cost**: ~2x token usage vs baseline generation (estimated from implementation)
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3. **Output volume trade-off**: Generates fewer but more accurate results
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4. **Model-specific**: Tested on Llama 65B; generalization to GPT-4/Claude/Sonnet unverified
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5. **Task dependency**: Performance varies significantly by task type (23-112%)
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6. **Factual hallucinations only**: Does not address incorrect reasoning steps or opinions
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## Source Code
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- **GitHub**: [vertti/se-cove-claude-plugin](https://github.com/vertti/se-cove-claude-plugin)
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- **Version**: 1.1.1 (2026-01-23)
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- **License**: MIT
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- **Author**: Janne Sinivirta
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## Related
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- Main guide section: [Plugin System](../guide/ultimate-guide.md#85-plugin-system)
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- Methodology: [Multi-Agent Orchestration](../guide/methodologies.md#multi-agent-orchestration)
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- Verification Loops: [Autonomous Iteration](../guide/methodologies.md#verification-loops)
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---
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## Visual Overview
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Before diving into the technical details, this diagram by Mohamed Ali Ben Salem captures the essential architecture:
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*Source: [Mohamed Ali Ben Salem on LinkedIn](https://www.linkedin.com/posts/mohamed-ali-ben-salem-2b777b9a_en-ce-moment-je-vois-passer-des-posts-du-activity-7420592149110362112-eY5a) — Used with attribution*
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**Key insight**: Claude Code is NOT a new AI model — it's an orchestration layer that connects Claude (Opus/Sonnet/Haiku) to your development environment through file editing, command execution, and repository navigation.
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---
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## Table of Contents
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- [Visual Overview](#visual-overview)
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1. [The Master Loop](#1-the-master-loop)
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2. [The Tool Arsenal](#2-the-tool-arsenal)
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3. [Context Management Internals](#3-context-management-internals)
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**Written with**: Claude (Anthropic)
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**Version**: 3.11.5 | **Last Updated**: January 2026
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**Version**: 3.11.6 | **Last Updated**: January 2026
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---
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@ -424,4 +424,4 @@ where.exe claude; claude doctor; claude mcp list
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**Author**: Florian BRUNIAUX | [@Méthode Aristote](https://methode-aristote.fr) | Written with Claude
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*Last updated: January 2026 | Version 3.11.5*
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*Last updated: January 2026 | Version 3.11.6*
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**Last updated**: January 2026
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**Version**: 3.11.5
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**Version**: 3.11.6
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---
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@ -5158,6 +5158,140 @@ See the [repository README](https://github.com/blader/Claudeception) for hook co
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This skill demonstrates the **skill-that-creates-skills** pattern—a meta-approach where Claude Code improves itself through session learning. Inspired by academic work on reusable skill libraries (Voyager, CASCADE, SEAgent, Reflexion).
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### Automatic Skill Improvement: Claude Reflect System
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**Repository**: [claude-reflect-system](https://github.com/haddock-development/claude-reflect-system)
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**Author**: Haddock Development | **Status**: Production-ready (2026)
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**Marketplace**: [Agent Skills Index](https://agent-skills.md/skills/haddock-development/claude-reflect-system/reflect)
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While Claudeception creates new skills from discovered patterns, **Claude Reflect System** automatically improves existing skills by analyzing Claude's feedback and detected corrections during sessions.
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#### How It Works
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Claude Reflect operates in two modes:
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**Manual Mode** (`/reflect [skill-name]`):
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```bash
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/reflect design-patterns # Analyze and propose improvements for specific skill
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```
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**Automatic Mode** (Stop hook):
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1. **Monitors** Stop hook triggers (session end, error, explicit stop)
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2. **Parses** session transcript for skill-related feedback
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3. **Classifies** improvement type (correction, enhancement, new example)
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4. **Proposes** skill modifications with confidence level (HIGH/MED/LOW)
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5. **Waits** for explicit user review and approval
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6. **Backs up** original skill file to Git
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7. **Applies** changes with validation (YAML syntax, markdown structure)
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8. **Commits** with descriptive message
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#### Safety Features
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| Feature | Purpose | Implementation |
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|---------|---------|----------------|
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| **User Review Gate** | Prevent automatic unwanted changes | All proposals require explicit approval before application |
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| **Git Backups** | Enable rollback of bad improvements | Auto-commits before each modification with descriptive messages |
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| **Syntax Validation** | Maintain skill file integrity | YAML frontmatter + markdown body validation before write |
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| **Confidence Levels** | Prioritize high-quality improvements | HIGH (clear correction) > MED (likely improvement) > LOW (suggestion) |
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| **Locking Mechanism** | Prevent concurrent modifications | File locks during analysis and application phases |
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#### Installation
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```bash
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# Clone to skills directory
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git clone https://github.com/haddock-development/claude-reflect-system.git \
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~/.claude/skills/claude-reflect-system
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# Configure Stop hook (add to ~/.claude/hooks/Stop.sh or Stop.ps1)
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# Bash example:
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echo '/reflect-auto' >> ~/.claude/hooks/Stop.sh
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chmod +x ~/.claude/hooks/Stop.sh
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# PowerShell example:
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Add-Content -Path "$HOME\.claude\hooks\Stop.ps1" -Value "/reflect-auto"
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```
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See the [repository README](https://github.com/haddock-development/claude-reflect-system) for detailed hook configuration.
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#### Use Case Example
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**Problem**: You use a `terraform-validation` skill that doesn't catch a specific security misconfiguration. During the session, Claude detects and corrects the issue manually.
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**Reflect System detects**:
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- Claude corrected a pattern not covered by the skill
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- Correction was verified (tests passed)
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- High confidence (clear improvement)
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**Proposal**:
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```yaml
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Skill: terraform-validation
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Confidence: HIGH
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Change: Add S3 bucket encryption validation
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Diff:
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+ - Check bucket encryption: aws_s3_bucket.*.server_side_encryption_configuration
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+ - Reject: Encryption not set or using AES256 instead of aws:kms
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```
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**User reviews** → approves → **skill updated** → future sessions automatically catch this issue.
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#### ⚠️ Security Warnings
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Self-improving systems introduce specific security risks. Claude Reflect System includes mitigations, but users must remain vigilant:
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| Risk | Description | Mitigation | User Responsibility |
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|------|-------------|------------|---------------------|
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| **Feedback Poisoning** | Adversarial inputs manipulate improvement proposals | User review gate, confidence scoring | Review all HIGH confidence proposals, reject suspicious changes |
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| **Memory Poisoning** | Malicious edits to learned patterns accumulate | Git backups, syntax validation | Periodically audit skill history via Git log |
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| **Prompt Injection** | Embedded instructions in session transcripts | Input sanitization, proposal isolation | Never approve proposals with executable commands |
|
||||
| **Skill Bloat** | Unbounded growth without curation | Manual `/reflect [skill]` mode, curate regularly | Archive or merge redundant improvements quarterly |
|
||||
|
||||
**Academic sources**:
|
||||
- [Anthropic Memory Cookbook](https://github.com/anthropics/anthropic-cookbook/blob/main/skills/memory/guide.md) (official guidance on agent memory systems)
|
||||
- Research on adversarial attacks against AI learning systems
|
||||
|
||||
#### Activation and Control
|
||||
|
||||
| Command | Effect |
|
||||
|---------|--------|
|
||||
| `/reflect-on` | Enable automatic Stop hook analysis |
|
||||
| `/reflect-off` | Disable automatic analysis (manual mode only) |
|
||||
| `/reflect [skill-name]` | Manually trigger analysis for specific skill |
|
||||
| `/reflect status` | Show enabled/disabled state and recent proposals |
|
||||
|
||||
Default: **Disabled** (opt-in for safety)
|
||||
|
||||
#### Comparison: Claudeception vs Reflect System
|
||||
|
||||
| Aspect | Claudeception | Claude Reflect System |
|
||||
|--------|---------------|----------------------|
|
||||
| **Focus** | Skill generation (create new) | Skill improvement (refine existing) |
|
||||
| **Trigger** | New patterns discovered | Corrections/feedback detected |
|
||||
| **Input** | Session discoveries, workarounds | Claude's self-corrections, user feedback |
|
||||
| **Review** | Implicit (skill created, user evaluates in next session) | Explicit (proposal shown, user approves/rejects) |
|
||||
| **Safety** | Quality gates (only tested discoveries) | Git backups, syntax validation, confidence levels |
|
||||
| **Use Case** | Bootstrap project-specific skills | Evolve skills based on real-world usage |
|
||||
| **Overhead** | Hook evaluation per prompt | Stop hook evaluation (session end) |
|
||||
|
||||
#### Recommended Combined Workflow
|
||||
|
||||
1. **Bootstrap** (Claudeception): Let Claude generate skills from discovered patterns during initial project work
|
||||
2. **Iterate** (Use skills): Apply generated skills in subsequent sessions
|
||||
3. **Refine** (Reflect System): Enable `/reflect-on` to capture improvements as skills evolve with usage
|
||||
4. **Curate** (Manual): Quarterly review via `/reflect status` and Git history to archive or merge redundant patterns
|
||||
|
||||
**Example timeline**:
|
||||
- Week 1-2: Claudeception generates `api-error-handling` skill from debugging sessions
|
||||
- Week 3-6: Skill used in 20+ sessions, catches 80% of error cases
|
||||
- Week 7: Reflect detects 3 missed edge cases, proposes HIGH confidence additions
|
||||
- Week 8: User approves, skill now catches 95% of cases automatically
|
||||
|
||||
#### Resources
|
||||
|
||||
- **GitHub Repository**: [haddock-development/claude-reflect-system](https://github.com/haddock-development/claude-reflect-system)
|
||||
- **Marketplace**: [Agent Skills Index](https://agent-skills.md/skills/haddock-development/claude-reflect-system/reflect)
|
||||
- **Video Tutorial**: [YouTube walkthrough](https://www.youtube.com/watch?v=...) (check repo for latest)
|
||||
- **Academic Foundation**: [Anthropic Memory Cookbook](https://github.com/anthropics/anthropic-cookbook/blob/main/skills/memory/guide.md)
|
||||
|
||||
### DevOps & SRE Guide
|
||||
|
||||
For comprehensive DevOps/SRE workflows, see **[DevOps & SRE Guide](./devops-sre.md)**:
|
||||
|
|
@ -14079,4 +14213,4 @@ Thumbs.db
|
|||
|
||||
**Contributions**: Issues and PRs welcome.
|
||||
|
||||
**Last updated**: January 2026 | **Version**: 3.11.5
|
||||
**Last updated**: January 2026 | **Version**: 3.11.6
|
||||
|
|
|
|||
|
|
@ -3,8 +3,8 @@
|
|||
# Source: guide/ultimate-guide.md
|
||||
# Purpose: Condensed index for LLMs to quickly answer user questions about Claude Code
|
||||
|
||||
version: "3.11.5"
|
||||
updated: "2026-01-23"
|
||||
version: "3.11.6"
|
||||
updated: "2026-01-24"
|
||||
|
||||
# ════════════════════════════════════════════════════════════════
|
||||
# DEEP DIVE - Line numbers in guide/ultimate-guide.md
|
||||
|
|
@ -56,13 +56,15 @@ deep_dive:
|
|||
tts_hook_example: "examples/hooks/bash/tts-selective.sh"
|
||||
tts_claude_md_template: "examples/claude-md/tts-enabled.md"
|
||||
# Architecture internals (guide/architecture.md)
|
||||
architecture_master_loop: "guide/architecture.md:60"
|
||||
architecture_tools: "guide/architecture.md:130"
|
||||
architecture_context: "guide/architecture.md:200"
|
||||
architecture_subagents: "guide/architecture.md:280"
|
||||
architecture_permissions: "guide/architecture.md:350"
|
||||
architecture_mcp: "guide/architecture.md:450"
|
||||
architecture_philosophy: "guide/architecture.md:580"
|
||||
architecture_visual_overview: "guide/architecture.md:41"
|
||||
architecture_visual_source: "https://www.linkedin.com/posts/mohamed-ali-ben-salem-2b777b9a_en-ce-moment-je-vois-passer-des-posts-du-activity-7420592149110362112-eY5a"
|
||||
architecture_master_loop: "guide/architecture.md:72"
|
||||
architecture_tools: "guide/architecture.md:155"
|
||||
architecture_context: "guide/architecture.md:208"
|
||||
architecture_subagents: "guide/architecture.md:315"
|
||||
architecture_permissions: "guide/architecture.md:385"
|
||||
architecture_mcp: "guide/architecture.md:506"
|
||||
architecture_philosophy: "guide/architecture.md:746"
|
||||
# Main guide (guide/ultimate-guide.md) - Updated 2026-01-20
|
||||
installation: 196
|
||||
first_workflow: 277
|
||||
|
|
@ -108,6 +110,17 @@ deep_dive:
|
|||
# Automatic skill generation (meta-skill)
|
||||
claudeception: "https://github.com/blader/Claudeception"
|
||||
claudeception_guide: 5095
|
||||
# Skill Lifecycle: Automatic improvement (added 2026-01-24)
|
||||
skill_lifecycle: 5118
|
||||
claude_reflect_system: 5161
|
||||
claude_reflect_system_repo: "https://github.com/haddock-development/claude-reflect-system"
|
||||
claude_reflect_system_agent_skills: "https://agent-skills.md/skills/haddock-development/claude-reflect-system/reflect"
|
||||
skill_improvement_pattern: 5161
|
||||
skill_improvement_how_it_works: 5169
|
||||
skill_improvement_safety: 5188
|
||||
skill_improvement_security_warnings: 5237
|
||||
skill_improvement_comparison: 5263
|
||||
skill_improvement_workflow: 5275
|
||||
# Skills Marketplace (added 2026-01-23)
|
||||
skills_marketplace: 5172
|
||||
skills_marketplace_url: "https://skills.sh/"
|
||||
|
|
@ -121,6 +134,15 @@ deep_dive:
|
|||
- "test-driven-development: 721 installs"
|
||||
skills_marketplace_status: "Community (Vercel Labs), launched Jan 21, 2026"
|
||||
skills_marketplace_changelog: "https://vercel.com/changelog/introducing-skills-the-open-agent-skills-ecosystem"
|
||||
# Plugin System & Recommended Plugins (added 2026-01-24)
|
||||
plugins_system: 6863
|
||||
plugins_commands: 6876
|
||||
plugins_marketplace: 6890
|
||||
plugins_recommended: "examples/plugins/"
|
||||
plugins_se_cove: "examples/plugins/se-cove.md"
|
||||
chain_of_verification: "guide/methodologies.md:165"
|
||||
chain_of_verification_paper: "https://arxiv.org/abs/2309.11495"
|
||||
chain_of_verification_acl: "https://aclanthology.org/2024.findings-acl.212/"
|
||||
# Verification Loops & Eval Harness (added 2026-01-23)
|
||||
verification_loops: "guide/methodologies.md:145"
|
||||
verification_loops_source: "https://www.anthropic.com/engineering/claude-code-best-practices"
|
||||
|
|
|
|||
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