本文へ移動
cccskills
無料GitHub で公開

make-plan

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.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md2.9 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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

🔗 Связи

  • [[MOC - Memory]] — memory
  • [[000 - Map of Maps]] — Map of Maps

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

1password

無料

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

ibragimov-oasis のスキルをすべて見る

このスキルの問題を報告する