make-plan
Create a detailed, phased implementation plan with documentation discovery.
Skill by longhang2004
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.
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About
Use cases: productivity
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What's inside
- Skill name
make-plan- Description
- Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
- License
- MIT
- Instructions
- 64 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Make Plan You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts. ## Delegation Model Use subagents for *fact gathering and extraction* (docs, examples, signatures, grep results). Keep *synthesis and plan authoring* with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing. ### Subagent Reporting Contract (MANDATORY) Each subagent response must include: 1. Sources consulted (files/URLs) and what was read 2. Concrete findings (exact API names/signatures; exact file paths/locations) 3. Copy-ready snippet locations (example files/sections to copy) 4. "Confidence" note + known gaps (what might still be missing) Reject and redeploy the subagent if it reports conclusions without sources. ## Plan Structure ### Phase 0: Documentation Discovery (ALWAYS FIRST) Before planning implementation, deploy "Documentation Discovery" subagents to: 1. Search for and read relevant documentation, examples, and existing patterns 2. Identify the actual APIs, methods, and signatures available (not assumed) 3. Create a brief "Allowed APIs" list citing specific documentation sources 4. Note any anti-patterns to avoid (methods that DON'T exist, deprecated parameters) The orchestrator consolidates findings into a single Phase 0 output. ### Each Implementation Phase Must Include 1. **What to implement** — Frame tasks to COPY from docs, not transform existing code - Good: "Copy the V2 session pattern from docs/examples.ts:45-60" - Bad: "Migrate the existing code to V2" 2. **Documentation references** — Cite specific files/lines for patterns to follow 3. **Verification checklist** — How to prove this phase worked (tests, grep checks) 4. **Anti-pattern guards** — What NOT to do (invented APIs, undocumented params) ### Final Phase: Verification 1. Verify all implementations match documentation 2. Check for anti-patterns (grep for known bad patterns) 3. Run tests to confirm functionality ## Key Principles - Documentation Availability ≠ Usage: Explicitly require reading docs - Task Framing Matters: Direct agents to docs, not just outcomes - Verify > Assume: Require proof, not assumptions about APIs - Session Boundaries: Each phase should be self-contained with its own doc references ## Anti-Patterns to Prevent - Inventing API methods that "should" exist - Adding parameters not in documentation - Skipping verification steps - Assuming structure without checking examples ## See Also - `oh-my-issues` — the issue-side sibling. When the plan you're being asked to make is rooted in a bug or feature backlog rather than a fresh idea, route through `oh-my-issues` first to cluster issues by root cause into plan masters and `plans/0X-*.md` design docs. `make-plan` then operates on the design doc for one plan slice.
From longhang2004/Tenvyr, MIT.
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- Last commit (this folder)
- Jul 28, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/longhang2004/Tenvyr
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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make-plan skill. Agent Mart. https://agentmart.dev/skills/longhang2004-make-plan (last updated 2026-10-24)