Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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。
hybridlabor-api/aos62026年10月11日 更新
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concise-planning
Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.
含まれるファイル（1）
- SKILL.md1.8 KB
SKILL.md（原文）
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Concise Planning
Goal
Turn a user request into a single, actionable plan with atomic steps.
Workflow
1. Scan Context
- Read
README.md, docs, and relevant code files. - Identify constraints (language, frameworks, tests).
2. Minimal Interaction
- Ask at most 1–2 questions and only if truly blocking.
- Make reasonable assumptions for non-blocking unknowns.
3. Generate Plan
Use the following structure:
- Approach: 1-3 sentences on what and why.
- Scope: Bullet points for "In" and "Out".
- Action Items: A list of 6-10 atomic, ordered tasks (Verb-first).
- Validation: At least one item for testing.
Plan Template
# Plan
<High-level approach>
## Scope
- In:
- Out:
## Action Items
[ ] <Step 1: Discovery>
[ ] <Step 2: Implementation>
[ ] <Step 3: Implementation>
[ ] <Step 4: Validation/Testing>
[ ] <Step 5: Rollout/Commit>
## Open Questions
- <Question 1 (max 3)>
Checklist Guidelines
- Atomic: Each step should be a single logical unit of work.
- Verb-first: "Add...", "Refactor...", "Verify...".
- Concrete: Name specific files or modules when possible.
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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。
hybridlabor-api/aos62026年10月11日 更新
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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。
hybridlabor-api/aos62026年10月11日 更新
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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。
hybridlabor-api/aos62026年10月11日 更新
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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。
hybridlabor-api/aos62026年10月11日 更新
agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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。
hybridlabor-api/aos62026年10月11日 更新