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。
Generate, scaffold, validate and lint Makefiles and .mk files: .PHONY targets, build automation, common mistakes. Use for any Makefile work.
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。
One entry point for Makefile work, covering two phases: generating a new production-ready Makefile and validating or linting an existing one. Covers C/C++, Python, Go, Java and generic projects, GNU Coding Standards targets, security hardening and CI integration.
Generation is requirements-first (language, structure, targets, install layout) with validation as a mandatory final step; validation is a local-first, deterministic pipeline whose exit codes decide whether fixes are optional, recommended, or required. Pick the section below by the request: "create/generate/write a Makefile" → Generate; "validate/lint/check/review a Makefile" → Validate.
PREFIX=/usr/local), and which standard targets (all, install, clean, test, dist, help) are needed..mk file: quality, linting, hardening, security or troubleshooting before CI.bash scripts/validate_makefile.sh <makefile-path>
python3, pip3, make), GNU make syntax check (make -n --dry-run), mbake validate, mbake format --check, custom security/best-practice/optimization checks, plus optional checkmake and unmake when installed.0 = passed, 1 = passed with warnings (fix recommended, merge-policy dependent), 2 = failed — errors must be fixed and the run repeated.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。
概要と使いどころ
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。
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。
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。
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。
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。
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。