菜单
追踪并分析skill使用：记录激活事件、会话覆盖、helpful/not_helpful反馈， 生成usage report识别高价值与低活跃skill并给出推荐优化。Use for “usage stats”, “which skills are popular”, “skill analytics”, “track usage”, project-skill affinity analysis, and local governance insights via .opencode/skill-usage.json.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
胖鱼PEtFiSh常驻伙伴：感知需求与能力缺口（Tier1领域映射+Tier2意图检测）、 查询已装pack状态、自动检查更新、推荐安装/升级并提供/petfish命令入口。Use when users ask /petfish, /petfish upgrade, /petfish uninstall, "what skills do I have", "what else can you do", "check for updates", "uninstall pack", need deploy/course/ppt/testdocs/petfish/calibrate/ context/research capabilities, or need cross-marketplace skill/MCP discovery and skill ecosystem governance.
Search/discover skills and MCP servers across PEtFiSh, PEtFiSh Market (community), Glama, Smithery, SkillKit, anthropics/skills, and GitHub. Use for /petfish search, “find a skill for…”, “search marketplace”, “is there a skill that…”, “MCP server for…”, “discover tools for…”, or when local capabilities are missing. Returns ranked cross-source results plus install/config guidance.
Publish validated skill packs to PEtFiSh Market. Generates registry JSON entries from pack-manifest.json for optional packs. Trigger on 'publish skill', 'publish pack', 'release to market', '发布到市场'. Runs after quality-gate PASS. Outputs registry JSON files ready for commit to petfish-market. Supports --generate-index to regenerate index.json and --push to auto-commit and push to petfish-market via gh CLI.
Rewrite, polish, humanize, de-AI, or formalize Chinese or English technical, academic, business, course, proposal, patent, and email content into Petfish's structured, evidence-based, engineering-oriented style. Supports custom style profiles, de-ai-detector reports, enhanced Chinese de-AI rules, and optional taste enhancement. Triggers: 用我的语言习惯表达, 说人话, 润色, 去AI味, 按我的风格写, 改得更像人写的, 论文润色, 学术写作, abstract rewrite, rewrite my paper.
Extract personal writing style from samples to create a style profile. Analyzes sentence patterns, vocabulary preferences, argumentation structure, punctuation habits, tone markers, and AI-distinguishability signals across Chinese and English. Use when "提炼我的写作风格", "extract my style", "create style profile", "analyze my writing", "风格画像", "个性化风格提取", or when setting up petfish-style-rewriter for the first time.
Detect AI writing patterns in Chinese or English text. Use when the user asks to 检测AI味 / 检测AI痕迹 / 去AI检测 / AI写作检测, detect AI writing, check for AI patterns, is this AI-generated, AI slop check, or detect_ai. Produces a structured quantitative + qualitative detection report; does not rewrite.
| name | skill-usage-tracker |
| description | 追踪并分析skill使用：记录激活事件、会话覆盖、helpful/not_helpful反馈， 生成usage report识别高价值与低活跃skill并给出推荐优化。Use for “usage stats”, “which skills are popular”, “skill analytics”, “track usage”, project-skill affinity analysis, and local governance insights via .opencode/skill-usage.json. |
| metadata | {"author":"petfish-team","version":"0.2.0","short-description":"Skill使用追踪 — 记录、分析、推荐"} |
数据驱动的skill生态治理。知道什么被用、什么没用、什么该推荐。
你负责追踪和分析skill的使用情况，为companion的推荐决策提供数据支持。
你不做skill的创建、修改或安装——你只做记录、统计和洞察。
每个项目维护一个使用记录文件：.opencode/skill-usage.json
{
"project": "/path/to/project",
"platform": "opencode",
"created": "2026-05-01T10:00:00Z",
"updated": "2026-05-02T15:30:00Z",
"skills": {
"petfish-companion": {
"activations": 45,
"last_used": "2026-05-02T15:30:00Z",
"first_used": "2026-05-01T10:00:00Z",
"sessions": 12,
"feedback": {"helpful": 8, "not_helpful": 1}
},
"skill-lint": {
"activations": 15,
"last_used": "2026-05-02T14:00:00Z",
"first_used": "2026-05-01T12:00:00Z",
"sessions": 5,
"feedback": {"helpful": 3, "not_helpful": 0}
}
}
}
| 字段 | 含义 |
|---|---|
| activations | 总激活次数 |
| last_used | 最近一次使用时间 |
| first_used | 首次使用时间 |
| sessions | 使用过该skill的独立会话数 |
| feedback.helpful | 用户标记有帮助的次数 |
| feedback.not_helpful | 用户标记无帮助的次数 |
当companion感知到某个skill被激活时，调用tracker记录：
uv run .opencode/skills/skill-usage-tracker/scripts/track_usage.py \
--skill <skill-name> --action activate --target .
当用户对skill输出给出反馈时：
uv run .opencode/skills/skill-usage-tracker/scripts/track_usage.py \
--skill <skill-name> --action feedback --feedback helpful --target .
uv run .opencode/skills/skill-usage-tracker/scripts/track_usage.py \
--action report --target .
┌──────────────────────────────────────────┐
│ ><(((^> Skill Usage Report │
├──────────────────────────────────────────┤
│ Project: /path/to/project │
│ Period: 2026-05-01 → 2026-05-02 │
│ Total activations: 87 │
│ │
│ Top Skills: │
│ 1. petfish-companion 45 ⬆️ (51.7%) │
│ 2. skill-lint 15 (17.2%) │
│ 3. skill-author 12 (13.8%) │
│ │
│ Dormant Skills (no use in 7+ days): │
│ ⚪ marketplace-connector │
│ ⚪ repo-skill-miner │
│ │
│ Satisfaction: │
│ 👍 92% helpful (11/12 rated) │
└──────────────────────────────────────────┘
满足以下条件的skill为高价值：
满足以下条件的skill需要关注：
基于使用数据，tracker可以建议：
.opencode/skill-usage.json）