Claude Cursor Skill

feature-radar

Full-cycle feature discovery, evaluation, and prioritization. Builds a persistent knowledge base at .feature-radar/ and runs a 6-phase workflow to recommend what to build next. Modes: full (all phases), quick (scan only), evaluate (prioritize), #N (deep-dive one). MUST use this s

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Download runkids-my-skills-feature-radar_feature-radar-7f33dbc.zip · 10 KB
Part of runkids/my-skills — 13 skills

Install

skills CLI npx skills add https://github.com/runkids/my-skills/tree/main/feature-radar/feature-radar
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install runkids-my-skills@llmmart
Git 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

Feature Discovery & Prioritization

Mode Routing

Files (my-skills)
  • references
    • DEEP-READ.md 1.3 KB
      # Deep Read — Preflight Checklist
      
      <HARD-GATE>
      Complete these steps before any other action:
      
      1. `.feature-radar/` directory exists — if not, tell user to run `feature-radar` skill first and STOP
      2. **Read base.md thoroughly** — understand Project Context, Feature Inventory, Classification Rules, and current Tracking Summary counts
      3. **Scan existing files** — list what's already in archive/, opportunities/, specs/, references/. Read file names and headers to understand current state
      4. **Identify context** — extract:
         - Project Language & Architecture
         - Key Feature Areas (from Feature Inventory)
         - Inspiration Sources
         - Current counts: {archive: n, opportunities: n, specs: n, references: n}
      5. **State your understanding** — describe what the project does, what's already tracked, and what gaps you see
      6. **Reconcile state** — verify consistency before proceeding:
         - Count actual files in archive/, opportunities/, specs/, references/
         - Compare with Tracking Summary counts in base.md
         - If mismatch: update base.md counts and state "Reconciled: {category} {old} → {new}"
         - Check archive/ files for incomplete extraction checklists (missing specs/, no derived opportunities noted)
         - State reconciliation result: "State consistent" or list corrections made
      
      Proceed to the workflow after step 6.
      </HARD-GATE>
      
    • DIRECTIVES.md 1.7 KB
      # Shared Behavioral Directives
      
      Follow these directives throughout this skill's execution:
      
      1. **Ground claims in the code** — Base classifications and feature descriptions on what the implementation does, not on file names or README claims.
      2. **Artifacts over conversation** — Write findings to files, not just chat messages. Every substantive output must persist in `.feature-radar/`.
      3. **Do not stop mid-flow** — Continue through all workflow steps; the only pauses are the explicit checkpoints. If a step yields no results, state "No findings" and continue to the next step.
      
      ## Completion Summary Template
      
      When all steps are done, present:
      
      ```
      ── Feature Radar: {Skill Name} Complete ──
      
      Files created:  + {path} (new)
      Files updated:  ~ {path} (what changed)
      Files removed:  - {path} (why)
      Counts: archive {n}, opportunities {n}, specs {n}, references {n}
      
      Suggested next:
      - {skill} — {reason based on this session's output}
      - {skill} — {reason}
      ```
      
      Pick 2-3 suggestions from this menu based on what happened in this session:
      
      | Condition | Suggest |
      |-----------|---------|
      | New opportunities were created | `/feature-radar evaluate` — prioritize the new opportunities |
      | A high-priority opportunity was identified | `/feature-radar #N` — deep-dive on {opportunity name} |
      | Features were archived | `/feature-radar-learn` — extract learnings from the archived work |
      | External observations were recorded | `/feature-radar-ref` — expand on the reference with more research |
      | Opportunities backlog is stale (>2 weeks) | `/feature-radar-scan` — refresh with a new scan |
      | Top recommendation was proposed | `enter plan mode` — start implementing the top pick |
      
      Do not end with "this should work" or "try this". End with the summary above.
      
    • SPEC.md 9.9 KB
      # Feature Radar Data Specification
      
      **Status**: v1
      
      **Purpose**: Define the `.feature-radar/` data format so any AI tool can produce and consume feature radar data without reading SKILL.md files.
      
      ## 1. Overview
      
      `.feature-radar/` is a project-local directory that stores structured feature tracking data — what exists, what's planned, what was tried, and what the ecosystem looks like. All files are Markdown with inline key-value metadata. No special tooling is required beyond a filesystem and a Markdown parser.
      
      ## 2. Directory Structure
      
      ```
      .feature-radar/
      ├── base.md                        # REQUIRED — project context + classification rules
      ├── archive/                       # REQUIRED dir — terminal-state features
      │   └── {nn}-{slug}.md
      ├── opportunities/                 # REQUIRED dir — open features not yet implemented
      │   └── {nn}-{slug}.md
      ├── specs/                         # REQUIRED dir — cross-cutting knowledge
      │   └── {topic}.md
      └── references/                    # REQUIRED dir — external observations
          └── {topic}.md
      ```
      
      All four subdirectories MUST exist, even if empty.
      
      ## 3. File Formats
      
      ### 3.1 base.md
      
      The root document. Describes the project and defines classification rules.
      
      **Required sections** (in order):
      
      | Section | Purpose |
      |---------|---------|
      | Project Context | Language, Architecture, Key Feature Areas, Core Philosophy, Inspiration Sources |
      | Feature Inventory | Implemented Features table + Value & Innovation Landscape table |
      | Tracking Summary | Counts per category (see table format below) |
      | Directory Layout | Visual tree of `.feature-radar/` |
      | Classification Rules | Definitions for archive/, opportunities/, specs/, references/ |
      | Maintenance Workflow | How features flow between directories |
      | Archive Extraction Checklist | 5-check checklist (see section 4.3) |
      
      **Tracking Summary table format:**
      
      ```markdown
      | Category | Count | Description |
      |----------|-------|-------------|
      | archive/ | {n} | Completed, covered, rejected, or deferred features |
      | opportunities/ | {n} | Open features not yet implemented |
      | specs/ | {n} | Cross-cutting patterns and architectural decisions |
      | references/ | {n} | External observations, inspiration, and ecosystem analysis |
      ```
      
      Counts MUST reflect the actual number of files in each directory.
      
      **Feature Inventory — Implemented Features table:**
      
      ```markdown
      | Feature | Code Path | Docs Coverage |
      |---------|-----------|---------------|
      | {feature} | {path} | {✓ documented / ✗ undocumented} |
      ```
      
      **Feature Inventory — Value & Innovation Landscape table:**
      
      ```markdown
      | Capability | Current State | Best-in-Class Reference | Opportunity |
      |------------|---------------|------------------------|-------------|
      | {capability} | {✓/✗/partial} | {who does it well} | {room for improvement or innovation} |
      ```
      
      ### 3.2 archive/{nn}-{slug}.md
      
      A feature in terminal state.
      
      **Filename**: `{nn}-{slug}.md` where `{nn}` is a zero-padded two-digit sequential number and `{slug}` is a lowercase kebab-case identifier.
      
      **Template:**
      
      ```markdown
      # {nn}. {Feature Name}
      
      **Status**: {status}
      **Ref**: {upstream issue/PR links, if any}
      **Implemented**: {code paths / commits, if Done}
      
      ## Description
      {What the feature does and why it was requested}
      
      ## Implementation Notes
      {Key decisions, trade-offs, and anything future maintainers should know}
      ```
      
      **Fields:**
      
      | Field | Required | Values |
      |-------|----------|--------|
      | Status | YES | `Done` \| `Covered` \| `Rejected` \| `N/A` \| `Deferred` |
      | Ref | NO | URL(s) to issues, PRs, or external references |
      | Implemented | NO | Code paths or commit references (expected when Status is `Done`) |
      
      **Status enum definitions:**
      
      - **Done** — fully implemented and working
      - **Covered** — existing functionality already handles the use case
      - **Rejected** — decided against implementing
      - **N/A** — not applicable to the project's architecture
      - **Deferred** — valuable but postponed; MUST include rationale and re-evaluation conditions
      
      ### 3.3 opportunities/{nn}-{slug}.md
      
      An open feature not yet implemented.
      
      **Filename**: Same convention as archive — `{nn}-{slug}.md`.
      
      **Template:**
      
      ```markdown
      # {nn}. {Feature Name}
      
      **Status**: {status}
      **Impact**: {impact}
      **Effort**: {effort}
      **Ref**: {upstream issue/PR links, if any}
      
      ## Description
      {What the feature does and the problem it solves}
      
      ## Design Notes
      {Implementation considerations, architectural constraints, dependencies}
      
      ## Our Position
      {Honest assessment — do we actually want this? Why or why not?}
      ```
      
      **Fields:**
      
      | Field | Required | Values |
      |-------|----------|--------|
      | Status | YES | `Open` \| `Partially Done` \| `Low Priority` |
      | Impact | YES | `High` \| `Medium` \| `Low` |
      | Effort | YES | `Low` \| `Medium` \| `High` |
      | Ref | NO | URL(s) to issues, PRs, or external references |
      
      **Effort guidelines:**
      
      - **Low** — less than 1 day
      - **Medium** — 1-3 days
      - **High** — 1+ week
      
      ### 3.4 specs/{topic}.md
      
      Cross-cutting knowledge: patterns, decisions, pitfalls, techniques.
      
      **Filename**: `{topic}.md` — named by the pattern/concept, NOT by the feature that produced it. Examples: `yaml-config-merge.md`, `symlink-vs-copy-tradeoffs.md`. Counterexamples (bad): `audit-feature-learnings.md`, `v2-refactor-notes.md`.
      
      **Template:**
      
      ```markdown
      # {Topic}
      
      ## Context
      {What was being built or solved}
      
      ## {Classification}
      {The reusable knowledge — this section heading matches the classification type}
      
      ## Why It Matters
      {When future work would benefit from this}
      ```
      
      **Classification** (exactly one per file):
      
      | Type | Definition |
      |------|-----------|
      | Pattern | Recurring solution worth replicating |
      | Decision | Architectural choice with rationale |
      | Pitfall | Mistake or dead end to avoid |
      | Technique | Implementation approach that worked well |
      
      The second section heading MUST be one of: `## Pattern`, `## Decision`, `## Pitfall`, `## Technique`.
      
      One topic per file. If a learning spans multiple topics, create multiple files. Append to an existing file when new learning extends a known topic.
      
      ### 3.5 references/{topic}.md
      
      External observations, inspiration, ecosystem trends, and research findings.
      
      **Filename**: `{topic}.md` — named by the subject being tracked, NOT by the event. Examples: `vercel-skills-ecosystem.md`, `agent-path-conventions.md`, `cli-ux-patterns.md`. Counterexamples (bad): `2026-02-18-update.md`, `interesting-finding.md`.
      
      **Template:**
      
      ```markdown
      # {Topic}
      
      > {One-line summary of what this reference tracks}
      
      ## {Date} — {Entry Title}
      
      **Source**: {URL}
      
      {What happened and why it matters to us}
      
      **Implications**:
      - {What this means for our project}
      ```
      
      **Structure rules:**
      
      - Each file tracks a **subject** (e.g., a project, a pattern, an ecosystem trend)
      - New observations are appended chronologically as new `## {Date} — {Entry Title}` sections
      - Do NOT create a new file per observation — append to the existing subject file
      - Always include source URL and date for traceability
      - Date format: `YYYY-MM-DD`
      
      ## 4. Lifecycle
      
      ### 4.1 Status Transitions
      
      ```
      opportunities/              archive/
      ┌─────────────┐            ┌─────────────┐
      │ Open        │───────────→│ Done        │
      │ Partially   │            │ Covered     │
      │   Done      │            │ Rejected    │
      │ Low Priority│            │ N/A         │
      └─────────────┘            │ Deferred    │
                                 └─────────────┘
      ```
      
      - Features flow from `opportunities/` to `archive/` when they reach a terminal state.
      - Features may also be created directly in `archive/` if already resolved at discovery time.
      - `Deferred` items MUST be periodically re-evaluated. "Deferred" is not permanent — include rationale and conditions for re-evaluation.
      
      ### 4.2 Numbering
      
      - `{nn}` is a sequential number shared across `opportunities/` and `archive/`.
      - Numbers are zero-padded to two digits (e.g., `01`, `02`, ... `99`).
      - When archiving from `opportunities/`, **keep the same number**. The file moves; the number does not change.
      - New items receive the next number after the highest existing number across both directories.
      
      ### 4.3 Archive Extraction Contract
      
      Every time an opportunity moves to `archive/`, ALL 5 checks MUST be performed:
      
      ```
      □ archive/{nn}-{slug}.md created with correct status
      □ Extract learnings      → specs/{topic}.md (create or append)
      □ Derive new opportunities → opportunities/{nn}-{slug}.md (create if found)
      □ Update references       → references/{topic}.md (update if relevant)
      □ Update ecosystem trends → specs/ecosystem-trends.md (update if relevant)
      ```
      
      Each check requires an explicit finding. Acceptable responses:
      
      - "No learnings to extract"
      - "New opportunity identified: {description}" (create the file)
      - "No reference updates needed"
      - "No ecosystem trend changes"
      
      Skipping any check without a stated finding is a spec violation.
      
      ## 5. Reconciliation
      
      To verify state consistency, perform:
      
      **Count verification:**
      
      1. Count actual files in `archive/`, `opportunities/`, `specs/`, `references/`
      2. Compare with counts in `base.md` Tracking Summary table
      3. If mismatch: update `base.md` counts
      
      **Extraction audit:**
      
      1. For each file in `archive/`, verify the extraction checklist was completed
      2. Missing extractions (no corresponding specs/, no derived opportunities noted) indicate incomplete archival
      
      ## 6. Interoperability
      
      - All files are plain Markdown (`.md`)
      - Metadata uses inline bold key-value pairs (`**Key**: Value`), not YAML frontmatter
      - No special tooling required — readable and writable with any text editor or Markdown parser
      - To programmatically parse metadata, match lines of the form `**{Key}**: {Value}`
      - File discovery: list directory contents; filenames encode the numbering and slug
      - The format is designed for AI tools that operate on filesystems and produce/consume Markdown
      
    • WORKFLOW-PATTERNS.md 805 B
      # Annotation Checkpoint Pattern
      
      After writing a file for user review, tell the user:
      
      "I've written `{path}`. Please review it. You can:
      1. **Approve as-is** — say 'looks good' or 'continue'
      2. **Annotate the file** — add `> NOTE: your correction here` anywhere in the file, then say 'address my notes'
      3. **Give verbal feedback** — tell me what to change
      
      I will not proceed until you confirm."
      
      <HARD-GATE>
      When the user says "address my notes":
      1. Read the file and find ALL lines starting with `> NOTE:`
      2. Address each note — modify the surrounding content accordingly
      3. Remove the `> NOTE:` lines after addressing them
      4. Present a summary of changes made
      5. Ask again: "All notes addressed. Anything else to adjust?"
      
      Do NOT proceed to the next step until the user approves.
      </HARD-GATE>
      
  • SKILL.md 9 KB
    ---
    name: feature-radar
    description: |
      Full-cycle feature discovery, evaluation, and prioritization. Builds a persistent knowledge
      base at .feature-radar/ and runs a 6-phase workflow to recommend what to build next.
      Modes: full (all phases), quick (scan only), evaluate (prioritize), #N (deep-dive one).
      MUST use this skill whenever the user asks about feature priorities, roadmaps, what to build,
      or wants to evaluate/compare feature ideas — even if they don't say "feature radar" explicitly.
      Use when the user wants to decide what to build next, rank or compare features and backlog
      items, plan a roadmap or project direction, reassess deferred or open opportunities, or
      mentions the .feature-radar/ directory.
    ---
    
    # Feature Discovery & Prioritization
    
    ## Mode Routing
    
    <HARD-GATE>
    Parse the user argument BEFORE any other logic. Determine the mode:
    
    | Argument | Mode | Phases |
    |----------|------|--------|
    | (none) or `full` | full | 1-6 (all) |
    | `quick` | quick | 1-3 only |
    | `evaluate` | evaluate | reconciliation → 5-6 (skip 1-3) |
    | `#N` (e.g. `#2`) | focus | Read opportunity N → Phase 5 (single item) → Phase 6 |
    
    Route rules:
    - **full**: Follow normal workflow (Phase 1-6).
    - **quick**: Execute Phase 1-3, then skip to Completion Summary.
    - **evaluate**: Run "Subsequent Runs" reconciliation (steps 1-2), then jump directly to Phase 5-6.
    - **focus (#N)**: Read `.feature-radar/opportunities/{N}-*.md`. If not found, list available opportunities and ask user to pick. Then run Phase 5 for that single opportunity, followed by Phase 6.
    
    State the detected mode before proceeding: "Mode: {mode}"
    </HARD-GATE>
    
    ## Bootstrap (First Run)
    
    If `.feature-radar/` does not exist at the project root, create it:
    
    ```
    .feature-radar/
    ├── base.md
    ├── archive/
    ├── opportunities/
    ├── specs/
    └── references/
    ```
    
    Then generate `base.md` by completing the following:
    
    <HARD-GATE>
    Complete ALL steps before presenting base.md to the user:
    
    1. **Detect stack and architecture** — start from `go.mod`, `package.json`, `Cargo.toml`, `pyproject.toml`, then the code they point to.
    2. **Map structure** — identify entry points, core logic, tests, docs, and configuration across the top-level directories.
    3. **Extract features** — from exports, commands, API routes, or public functions, described by what the implementation does.
    4. **Find inspiration sources** — read README, CONTRIBUTING, docs/ for related projects and communities
    5. **Verify with user** — present the generated base.md and ask: "Does this accurately describe your project?"
    </HARD-GATE>
    
    After presenting base.md, support iterative refinement per `references/WORKFLOW-PATTERNS.md`.
    
    <HARD-GATE>
    Do NOT proceed to the Workflow until the user approves base.md.
    </HARD-GATE>
    
    ### base.md Template
    
    Generate `base.md` following the structure defined in `references/SPEC.md` (sections 2-5).
    Read `references/SPEC.md` first, then fill `{placeholders}` with project-specific analysis.
    
    Key sections to generate:
    - **Project Context** — detected language, architecture, key feature areas, core philosophy, inspiration sources
    - **Feature Inventory** — implemented features table + value & innovation landscape table
    - **Tracking Summary** — counts per category (start at 0)
    - **Directory Layout** — tree view
    - **Classification Rules** — per references/SPEC.md §3.2-3.5
    - **Maintenance Workflow** — feature flow between directories
    - **Archive Extraction Checklist** — per references/SPEC.md §4.3
    
    After creating the directory, ask the user:
    **"Should I add `.feature-radar/` to `.gitignore`?"**
    (Recommended if the tracking data is internal and shouldn't be committed.)
    
    ## Subsequent Runs
    
    On subsequent runs (`.feature-radar/` already exists):
    1. Read existing `base.md` — do NOT overwrite
    2. Run reconciliation per `references/DEEP-READ.md` steps 2-6
    3. Proceed to Mode Routing
    
    ## Behavioral Directives
    
    <HARD-GATE>
    Read and follow `references/DIRECTIVES.md`.
    
    Additional directives for this skill:
    - **Do not skip phases outside mode rules** — follow the Mode Routing and Phase execution HARD-GATEs. For conditional phases, state the skip condition check result before deciding to skip.
    - **Reconcile on subsequent runs** — see "Subsequent Runs" section above.
    </HARD-GATE>
    
    ## Workflow
    
    Execute phases in order.
    
    <HARD-GATE>
    Phase execution rules (mode-dependent):
    
    **full mode** (default):
    - Phase 1-3: ALWAYS execute.
    - Phase 4: Skip ONLY if no documentation directory exists.
    - Phase 5-6: Skip ONLY if no open opportunities exist.
    
    **quick mode**:
    - Phase 1-3: Execute. Stop after Phase 3 → Completion Summary.
    
    **evaluate mode**:
    - Phase 1-4: Skip (reconciliation already done in Subsequent Runs).
    - Phase 5-6: Execute. Skip ONLY if no open opportunities exist.
    
    **focus mode (#N)**:
    - Phase 1-4: Skip.
    - Phase 5: Evaluate the single targeted opportunity only.
    - Phase 6: Propose for that opportunity only.
    </HARD-GATE>
    
    ### Phase 1: Scan & Classify
    
    1. Read source files (feature ideas, user feedback, ecosystem observations, creative proposals, issue trackers)
    2. Cross-reference each entry against the codebase
    3. Classify:
       - **Done / Covered / Rejected / N/A** → archive
       - **Open / Partially Done** → opportunity
       - **Cross-cutting pattern** → specs
       - **External observation** → references
    
    **Checkpoint**: Present classification results using this format, then ask "Continue to Phase 2?"
    
    ```
    Phase 1 complete:
    | Classification | Count | Items |
    |---------------|-------|-------|
    | Archive       | {n}   | {list} |
    | Opportunity   | {n}   | {list} |
    | Spec          | {n}   | {list} |
    | Reference     | {n}   | {list} |
    ```
    
    ### Phase 2: Archive Completed Features
    
    For each archive candidate:
    
    1. Create `archive/{nn}-{slug}.md`
    2. Run the **Archive Extraction Checklist** (mandatory):
       - Extract learnings → `specs/`
       - Derive new opportunities → `opportunities/`
       - Update references → `references/`
       - Update ecosystem trends → `specs/ecosystem-trends.md`
    3. Mark the entry as processed in the source (strikethrough + status)
    
    ### Phase 3: Organize Open Opportunities
    
    1. Create `opportunities/{nn}-{slug}.md`
    2. Assess **Impact** and **Effort** realistically
    3. Write an honest "Our Position" — do we actually want this?
    
    **Checkpoint**: Present opportunities using this format, then ask "Continue to Phase 4?"
    
    ```
    Phase 3 complete: {n} opportunities organized
    | # | Opportunity | Impact | Effort | Our Position |
    |---|------------|--------|--------|-------------|
    | {nn} | {title} | High/Med/Low | High/Med/Low | {1-line stance} |
    ```
    
    ### Phase 4: Gap Analysis
    
    Find implemented features that docs don't mention:
    
    1. Scan documentation for coverage of implemented features
    2. For each gap: which feature, which page should cover it, standalone guide or section
    
    ### Phase 5: Evaluate & Prioritize
    
    | Criterion | Question |
    |-----------|----------|
    | **Real user demand** | Are users actually asking for this? |
    | **Value uplift** | Does this meaningfully improve the user experience or unlock new possibilities? |
    | **Innovation potential** | Does this introduce a creative breakthrough or unique approach? |
    | **Effort / impact ratio** | Is the cost justified by the benefit? |
    | **Architectural fit** | Does it align with our core philosophy? |
    | **Ecosystem timing** | Is the ecosystem ready? |
    
    Rank into tiers:
    - **Build next**: High value + strong demand or innovation potential + reasonable effort
    - **Build soon**: Good value + moderate demand
    - **Monitor**: Low demand or premature
    - **Skip**: Conflicts with philosophy or negligible value
    
    **Checkpoint**: Present tier ranking using this format, then ask "Continue to Phase 6 (Propose)?"
    
    ```
    Phase 5 complete:
    | Tier | # | Opportunity | Demand | Value | Innovation | Effort/Impact | Fit | Timing |
    |------|---|------------|--------|-------|------------|--------------|-----|--------|
    | Build next | {nn} | {title} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} |
    | Build soon | ... | | | | | | |
    | Monitor    | ... | | | | | | |
    | Skip       | ... | | | | | | |
    ```
    
    ### Phase 6: Propose & Decide
    
    For each "Build next" feature (top 1-3), present a proposal card:
    
    ```
    ### {nn}. {Title}
    **Pitch**: {One paragraph — what value does this create?}
    **Effort**: {N days} — {brief justification}
    **Key decisions**:
    - {decision 1}
    - {decision 2}
    ```
    
    After all cards, ask: **"Should we enter plan mode for [feature]?"**
    
    ## Completion Summary
    
    Follow the template in `references/DIRECTIVES.md`, with skill name "Complete" and an additional line:
    `Top recommendation: {feature name} — {one-line pitch}`
    
    ## Guardrails
    
    - **Don't copy blindly.** Evaluate fit with YOUR architecture and users, not someone else's.
    - **Don't overcount.** 1 issue with no comments = weak signal.
    - **Don't undercount.** Multiple independent asks = strong signal.
    - **Chase value, not features.** Ask "what problem does this solve?" before "what does this do?"
    - **Be honest about effort.** Low < 1 day. Medium 1-3 days. High 1+ week.
    - **Challenge deferred items.** "Deferred" ≠ "forever" — re-evaluate each session.
    

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