feature-planning
Creates detailed implementation plans for approved features.
Skill by autoencoders
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/autoencoders-feature-planning
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: frontend
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/feature-planning
What's inside
- Skill name
feature-planning- Description
- Creates detailed implementation plans for approved features. Use after feature-evaluator approval. Produces testable component breakdowns, verification criteria, and stuck-detection triggers. Triggers on "plan this feature", "create implementation plan", "break down this feature", or when transitioning from feature evaluation to implementation.
- License
- CC-BY-4.0
- Instructions
- 241 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- verification-patterns.md · references/
SKILL.md (first lines)
# Feature Planning Transform approved feature evaluations into actionable implementation plans with built-in verification and escalation triggers. ## Execution Modes This skill adapts to the pipeline execution mode: | Mode | Behavior | |------|----------| | `full` | Full planning with detailed output | | `fast` | Planning included in combined eval+plan (skip this skill) | | `prototype` | Abbreviated planning (components + criteria only) | | `spike` | Skip planning entirely | In `fast` mode, planning is merged into the evaluator's combined output. This skill is only invoked separately in `full` and `prototype` modes. ## Input Requirements This skill requires an approved feature evaluation containing: - Feature description and scope - Selected implementation option (A/B/C from evaluator) - Anti-scope items (what NOT to build) - Success metrics If these are missing, request them before proceeding. ## Planning Process ### Step 1: Decompose into Components Break the feature into implementable components: 1. List all functional pieces required 2. Identify dependencies between components 3. Order by dependency (build dependencies first) 4. Estimate effort per component (S/M/L) Each component must be: - **Independently testable** — Can verify it works without other components - **Small enough** — Completable in one implementation cycle - **Well-bounded** — Clear start and end state ### Step 2: Define Verification Contract For each component AND for the feature as a whole, define verification criteria. **Verification types:** - `unit-test`: Automated test that runs in isolation - `integration-test`: Automated test that verifies behavior in context - `manual-test`: Human verification with specific steps - `assertion`: Runtime check that fails loudly if violated **Criteria rules:** - Must be **specific and binary** — pass or fail, no "looks good" - Must include **exact verification command or steps** - Must be **defined before implementation** (locked during implementation) - Can be **modified with justification** only (logged and requires rationale) ### Step 3: Define Stuck Detection Pre-define escalation triggers: - Same test fails N consecutive attempts - Total failed cycles exceed threshold - Implementation time exceeds estimate by X factor - Circular dependency discovered - External blocker identified ### Step 4: Document Anti-Scope Explicitly list what will NOT be implemented. This prevents scope creep during implementation. ## Output Format ``` IMPLEMENTATION PLAN ═══════════════════ Feature: [Name] Source: [Link to approved evaluation] Selected option: [A/B/C from evaluator] Total estimated effort: [S/M/L or time range] ## Verification Contract ### Acceptance Criteria (LOCKED) Modification policy: These criteria are locked during implementation. To modify, provide written justification and log the change. #### Criterion 1: [Name] - Type: [unit-test | integration-test | manual-test | assertion] - Pass condition: [Specific, binary condition] - Verification command: [Exact command or steps] - Critical: [Yes/No] — If Yes, failure = feature incomplete #### Criterion 2: [Name] - Type: [...] - Pass condition: [...] - Verification command: [...] - Critical: [Yes/No] [Continue for all criteria] ### Regression Checks - [ ] Existing test suite passes: `[command]` - [ ] [Specific existing functionality] still works: `[how to verify]` - [ ] No new linter/type errors: `[command]` ### Manual Test Requirements (if any) If automated testing is not possible for certain aspects: #### Manual Test 1: [Name] - What to test: [Specific action] - Expected result: [What should happen] - Edge cases to check: - [Edge case 1]: [Expected behavior] - [Edge case 2]: [Expected behavior] - Request human verification: Yes
From autoencoders/skills, CC-BY-4.0.
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A simple test skill that says hi.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Feb 6, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- CC-BY-4.0
- Repository
- github.com/autoencoders/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
feature-planning skill. Agent Mart. https://agentmart.dev/skills/autoencoders-feature-planning (last updated 2026-10-24)