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Log in via Keep Open API and fetch runs into Garmin-compatible running.json (VDOT, training load, period stats, optional per-km segments). Use for Keep run sync, fetch_keep_run, running.json, or exporting Keep running data.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | keep |
| description | Log in via Keep Open API and fetch runs into Garmin-compatible running.json (VDOT, training load, period stats, optional per-km segments). Use for Keep run sync, fetch_keep_run, running.json, or exporting Keep running data. |
Pull Keep runs into Garmin-style running.json via scripts/fetch_keep_run.py.
Aligned with upstream fetch-keep-run.py — sync from there when updating behavior.
running.json, VDOT, training load, fetch_keep_run.py--full export--output explicitly in this repo (default path targets Jekyll site layout).running.json key names for downstream Garmin consumers.references/usage.md for env, flags, output shape.--limit 1 --debug on first API/field issues.python3 -m py_compile keep/scripts/fetch_keep_run.py
references/usage.md — CLI, credentials, output, debugRead-only codebase health audit — MECE pillars architecture (A1–A6), code (C0–C3), security (S1), verification (V1–V2), dependencies (D1), operations (O1). Chat-only P0/P1/P2 roadmap; effort snapshot, standard, or deep; variants simplicity, anti-pattern, branch, direction, cicd, and pillar-scoped review. Use for codebase audit, architecture review, security hygiene, CI/CD review, over-engineering and anti-pattern scan; not article writing, topic learning, implementation edits, or plans/.
Guard long, ambiguous, or stateful AI-agent work from drift. Use for multi-step implementation, compaction at phase boundaries, task contracts, handoff/resume, or work spanning many tool calls, files, or sessions — not single-shot article writing, topic learning, or codebase audit.
Remove AI-writing tells from finished prose only — neutral tone, preserve facts and structure. Optional deep QA (tell-focused L1–L4). Use for 去AI味, humanize, de-AI polish, 润色; not 审校定稿 with author voice-default, publish-ready writing pipeline, blank-page drafts, or chapter reorder.
Fetch a random classical Chinese poem line from the Jinrishici HTTP API and format with standard Chinese attribution punctuation (author, title). Use for daily poem, briefing garnish, 今日诗词.
Audit, design, categorize, distribute, and measure agent skills using lessons from Anthropic's Lessons from building Claude Code: How we use skills. Use when reviewing an existing skill, deciding whether a workflow deserves a skill, planning a skill library, turning team knowledge into skills, choosing skill categories, writing trigger descriptions, designing progressive disclosure, or planning skill marketplace and usage measurement.
Fetch URL or PDF as clean Markdown for reading, citation, or archive (读). Modes convert (default), summarize, save, preview. Routes CN platforms, GitHub, PDF, proxy cascade, MCP fallback. Use for 读链接, 抓取正文, 提取文章; not article drafts, topic learning workspace, or codebase audit.