continuous-learning ยท diff
git:20260325.a6b3a88 to git:20260507.56f011d
69 added, 66 removed. Audit A to A.
- ---
- name: continuous-learning
- description: Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
- allowed-tools: Read, Write, Edit, Bash, Grep, Glob
- ---
-
- # Continuous Learning
-
- ## Overview
-
- Continuous learning pipeline adapted from the Everything Claude Code methodology. Automatically extracts patterns from development sessions, evaluates them with confidence scoring, and converts high-quality patterns into reusable skills.
-
- ## Learning Pipeline
-
- ### 1. Pattern Extraction
- - Analyze code changes and implementation approaches
- - Identify recurring patterns and conventions
- - Extract architectural decisions with rationale
- - Capture error resolution strategies
- - Record tool usage patterns
- - Assign initial confidence scores (0-100)
-
- ### 2. Pattern Evaluation
- - Score generalizability (0-100): cross-project applicability
- - Score reliability (0-100): validation frequency
- - Score impact (0-100): outcome improvement
- - Composite: generalizability * 0.3 + reliability * 0.4 + impact * 0.3
- - Filter below confidence threshold (default: 75)
- - Merge similar patterns
-
- ### 3. Skill Creation
- - Convert high-confidence patterns to SKILL.md format
- - Write clear instructions with phases
- - Include when-to-use and when-not-to-use sections
- - Add usage examples and agent references
- - Follow kebab-case naming convention
-
- ### 4. Organization
- - Categorize: language-specific, domain, business, meta
- - Resolve naming conflicts
- - Update indexes and manifests
- - Create dependency graphs
-
- ### 5. Version and Export
- - Assign semantic versions by maturity
- - Create portable export bundles
- - Include usage examples and test cases
- - Generate import instructions
-
- ## Strategic Compaction
- - Analyze context token usage
- - Identify low-value context for compression
- - Archive completed phases to memory files
- - Calculate token savings per suggestion
-
- ## When to Use
-
- - End of development sessions
- - After significant code reviews
- - After debugging sessions
- - Periodically during long sessions
-
- ## Agents Used
-
- - `continuous-learning` (custom agent for this skill)
- - `context-engineering` (compaction analysis)
+ ---
+ name: continuous-learning
+ description: Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
+ allowed-tools: Read, Write, Edit, Bash, Grep, Glob
+ graph:
+ domains: [domain:software-engineering]
+
+ ---
+
+ # Continuous Learning
+
+ ## Overview
+
+ Continuous learning pipeline adapted from the Everything Claude Code methodology. Automatically extracts patterns from development sessions, evaluates them with confidence scoring, and converts high-quality patterns into reusable skills.
+
+ ## Learning Pipeline
+
+ ### 1. Pattern Extraction
+ - Analyze code changes and implementation approaches
+ - Identify recurring patterns and conventions
+ - Extract architectural decisions with rationale
+ - Capture error resolution strategies
+ - Record tool usage patterns
+ - Assign initial confidence scores (0-100)
+
+ ### 2. Pattern Evaluation
+ - Score generalizability (0-100): cross-project applicability
+ - Score reliability (0-100): validation frequency
+ - Score impact (0-100): outcome improvement
+ - Composite: generalizability * 0.3 + reliability * 0.4 + impact * 0.3
+ - Filter below confidence threshold (default: 75)
+ - Merge similar patterns
+
+ ### 3. Skill Creation
+ - Convert high-confidence patterns to SKILL.md format
+ - Write clear instructions with phases
+ - Include when-to-use and when-not-to-use sections
+ - Add usage examples and agent references
+ - Follow kebab-case naming convention
+
+ ### 4. Organization
+ - Categorize: language-specific, domain, business, meta
+ - Resolve naming conflicts
+ - Update indexes and manifests
+ - Create dependency graphs
+
+ ### 5. Version and Export
+ - Assign semantic versions by maturity
+ - Create portable export bundles
+ - Include usage examples and test cases
+ - Generate import instructions
+
+ ## Strategic Compaction
+ - Analyze context token usage
+ - Identify low-value context for compression
+ - Archive completed phases to memory files
+ - Calculate token savings per suggestion
+
+ ## When to Use
+
+ - End of development sessions
+ - After significant code reviews
+ - After debugging sessions
+ - Periodically during long sessions
+
+ ## Agents Used
+
+ - `continuous-learning` (custom agent for this skill)
+ - `context-engineering` (compaction analysis)