M

make-plan

by @thedotmackv
4.4(20)

As a coordinator, create LLM-friendly phased plans, delegating fact-gathering and expansion to sub-agents.

product-planningproject-managementroadmap-developmentgoal-settingstrategic-planningGitHub
Installation
npx skills add thedotmack/claude-mem --skill make-plan
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Before / After Comparison

1
Before

When developing complex plans, a lack of structured methodology makes it difficult to effectively break down tasks and coordinate multiple agents, leading to chaotic plan execution and low efficiency.

After

As a coordinator, create LLM-friendly phased plans and delegate fact-gathering and expansion to sub-agents, ensuring clear and efficient plan execution.

SKILL.md

make-plan

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:

  • Sources consulted (files/URLs) and what was read

  • Concrete findings (exact API names/signatures; exact file paths/locations)

  • Copy-ready snippet locations (example files/sections to copy)

  • "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:

  • Search for and read relevant documentation, examples, and existing patterns

  • Identify the actual APIs, methods, and signatures available (not assumed)

  • Create a brief "Allowed APIs" list citing specific documentation sources

  • 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

  • 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"

  • Documentation references — Cite specific files/lines for patterns to follow

  • Verification checklist — How to prove this phase worked (tests, grep checks)

  • Anti-pattern guards — What NOT to do (invented APIs, undocumented params)

Final Phase: Verification

  • Verify all implementations match documentation

  • Check for anti-patterns (grep for known bad patterns)

  • 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

Weekly Installs213Repositorythedotmack/claude-memGitHub Stars37.6KFirst SeenFeb 24, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex209github-copilot206gemini-cli206kimi-cli206cursor206amp206

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Installs2.7K
Rating4.4 / 5.0
Version
Updated2026年5月22日
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Compatible Platforms

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

Timeline

Created2026年3月17日
Last Updated2026年5月22日