feature-radar-learn
Extract reusable patterns, architectural decisions, and pitfalls from completed work into .feature-radar/specs/. Captures the "why" behind choices so future sessions build on past experience. MUST use this skill when the user reflects on what worked or didn't, wants to record a d
Install
npx skills add https://github.com/runkids/my-skills/tree/main/feature-radar/feature-radar-learn
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install runkids-my-skills@llmmart
git clone https://github.com/runkids/my-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole runkids/my-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Extract Learnings
Capture reusable knowledge from completed work into .feature-radar/specs/.
Deep Read
Behavioral Directives
Workflow
Identify the source — ask the user what was just completed (feature, bug fix, refactor, investigation)
Analyze the work — review recent commits, changed files, and implementation decisions
Extract knowledge — classify each reusable piece into exactly one category, and state the classification in your output:
- Pattern: recurring solution worth replicating (e.g., "three-tier config merge")
- Decision: architectural choice with rationale (e.g., "YAML over JSON because...")
- Pitfall: mistake or dead end to avoid
- Technique: implementation approach that worked well
Write to specs — create or append to
.feature-radar/specs/{topic}.mdCheckpoint — State what was written and ask: "I've written to
specs/{topic}.md(). Does this look correct, or should I adjust anything?" Wait for user confirmation before proceeding.Update base.md — increment the specs count in Tracking Summary
File Format
Use the format defined in ../feature-radar/references/SPEC.md § 3.4 (specs/{topic}.md).
Guidelines
- One topic per file. If the learning spans multiple topics, create multiple files.
- Name files by the pattern, not by the feature that produced it.
- Good:
yaml-config-merge.md,symlink-vs-copy-tradeoffs.md - Bad:
audit-feature-learnings.md,v2-refactor-notes.md
- Good:
- Append to existing files when the new learning extends a known topic.
- Keep it concise — future readers need the insight, not the full story.
Example Output
→ Created specs/symlink-vs-copy-tradeoffs.md (Decision)
→ Updated base.md: specs 2 → 3
Completion Summary
Follow the template in ../feature-radar/references/DIRECTIVES.md, with skill name "Learn Complete".
Files (my-skills)
-
SKILL.md 2.8 KB
--- name: feature-radar-learn description: | Extract reusable patterns, architectural decisions, and pitfalls from completed work into .feature-radar/specs/. Captures the "why" behind choices so future sessions build on past experience. MUST use this skill when the user reflects on what worked or didn't, wants to record a decision or pattern for future use, or hit a dead end worth documenting. Use when the user asks to remember, document, or extract lessons from recent work. Do NOT use for recording external observations — that's feature-radar-ref's job. Do NOT use for archiving completed features — that's feature-radar-archive's job. --- # Extract Learnings Capture reusable knowledge from completed work into `.feature-radar/specs/`. ## Deep Read <HARD-GATE> Read and follow `../feature-radar/references/DEEP-READ.md` — complete all 6 steps before proceeding. </HARD-GATE> ## Behavioral Directives <HARD-GATE> Read and follow `../feature-radar/references/DIRECTIVES.md`. </HARD-GATE> ## Workflow 1. **Identify the source** — ask the user what was just completed (feature, bug fix, refactor, investigation) 2. **Analyze the work** — review recent commits, changed files, and implementation decisions 3. **Extract knowledge** — classify each reusable piece into exactly one category, and state the classification in your output: - **Pattern**: recurring solution worth replicating (e.g., "three-tier config merge") - **Decision**: architectural choice with rationale (e.g., "YAML over JSON because...") - **Pitfall**: mistake or dead end to avoid - **Technique**: implementation approach that worked well 4. **Write to specs** — create or append to `.feature-radar/specs/{topic}.md` 5. **Checkpoint** — State what was written and ask: "I've written to `specs/{topic}.md` ({classification type}). Does this look correct, or should I adjust anything?" Wait for user confirmation before proceeding. 6. **Update base.md** — increment the specs count in Tracking Summary ## File Format Use the format defined in `../feature-radar/references/SPEC.md` § 3.4 (`specs/{topic}.md`). ## Guidelines - One topic per file. If the learning spans multiple topics, create multiple files. - Name files by the pattern, not by the feature that produced it. - Good: `yaml-config-merge.md`, `symlink-vs-copy-tradeoffs.md` - Bad: `audit-feature-learnings.md`, `v2-refactor-notes.md` - Append to existing files when the new learning extends a known topic. - Keep it concise — future readers need the insight, not the full story. ## Example Output ``` → Created specs/symlink-vs-copy-tradeoffs.md (Decision) → Updated base.md: specs 2 → 3 ``` ## Completion Summary Follow the template in `../feature-radar/references/DIRECTIVES.md`, with skill name "Learn Complete".
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