本文へ移動
cccskills
無料GitHub で公開

wayfinder

Map a large, unclear, multi-session effort as linked decisions, then advance the map until the route to the destination is clear.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md1.5 KB
  • agents/openai.yaml144 B
  • references/map-model.md1.1 KB
  • references/workflows.md1.2 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。

Wayfind a large effort

Use this skill when the destination matters but the route cannot yet fit in one working session. If the work is already well scoped, recommend a lighter plan or implementation workflow.

  1. Name the destination and its scope with the user.
  2. Inspect the configured tracker and existing decisions. Choose a map representation that collaborators and agents can query reliably.
  3. Create a low-resolution map: settled decisions, sharply stated open questions, dependencies, unresolved fog, and explicit out-of-scope work. Avoid inventing detailed tickets for questions that are not yet clear.
  4. Advance independent questions concurrently when ownership and writes do not conflict. Keep human judgment in the loop for product or preference decisions; use research or prototypes when evidence is missing.
  5. After resolving a question, record the decision once, update affected dependencies and fog, and expose the next useful frontier.
  6. Hand off when the route is clear enough for specification or execution. Wayfinding may produce work only when doing so is necessary to resolve a decision.

Read references/map-model.md when creating or repairing a map. Read references/workflows.md for charting, advancing, concurrency, and handoff choices.

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

Create or review an AGENTS.md file so coding agents get stable repo-local instructions: environment setup, testing, style, security boundaries, PR policy, and handoff rules. Use when a repo lacks durable agent guidance or when a custom harness needs a predictable context file.

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。

stevesolun/ctx5882026年10月4日 更新

ask-matt

無料

Recommend the smallest Matt Pocock skill or short skill sequence that fits the user's current goal.

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。

stevesolun/ctx5882026年10月4日 更新

cavecrew

無料

Decision guide for delegating to caveman-style subagents. Tells the main thread WHEN to spawn `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit), or `cavecrew-reviewer` (diff review) instead of doing the work inline or using vanilla `Explore`. Subagent output is caveman-compressed so the tool-result injected back into main context is ~60% smaller — main context lasts longer across long sessions. Trigger: "delegate to subagent", "use cavecrew", "spawn investigator/builder/reviewer", "save context", "compressed agent output".

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。

stevesolun/ctx5882026年10月4日 更新

caveman

無料

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.

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。

stevesolun/ctx5882026年10月4日 更新

caveman

無料

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

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。

stevesolun/ctx5882026年10月4日 更新

Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes.

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。

stevesolun/ctx5882026年10月4日 更新

stevesolun のスキルをすべて見る

このスキルの問題を報告する