trace
Skill1 starsChanged 29 days agoLicence not identifiedView on GitHub
把 Claude Code 会话整理成结构化的每日实习学习笔记 + 游戏化成长轨迹。四种用法——(1)用户说"记一下"/"这是个坑"/"mark this"等标记意图时,把该学习点追加到 notes/.today-marks.md 暂存,不写笔记;(2)用户输入 /trace 或明确要"整理今天的学习/生成学习笔记"时,分析本次会话提取技术/问题/踩坑/概念,交互式问反思,关联历史笔记,写/合并 notes/YYYY-MM-DD.md,跑 aggregate.py 更新成长轨迹,并给明天建议与间隔复习;(3)用户输入 /trace weekly 或"生成周报"/"出本周周报"/"这周的汇报"时,聚合本周 daily notes 生成工作汇报体周报 reports/YYYY-Www.md 并跑 aggregate;(4)用户输入 /trace daily 或"生成日报"/"出今天的工作汇报"时,把当天 daily note 转成正式书面语工作日报 reports/YYYY-MM-DD.md(不跑 aggregate)。仅当用户明确表达这些意图时使用,不要在普通对话里主动打断。
27 other projects use a version of this.
Adopted by
Most recently taken up by
- thoughtbot/rails-consultanttheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- myths-labs/musetheir own version, first seen Nov 6, 2026
- pahlevikun/levistacktheir own version, first seen Nov 1, 2026
- lza6/claw-code-tingfengtheir own version, first seen Nov 1, 2026
- RoleModel/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use ai-slop-cleaner, ralplan and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Jurel89Skillai-slop-cleaner
Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode
Also in 4 projects that use this
ibahgatSkillralplan
Create a strict, quality-first execution plan with explicit gates and rollback-ready sequencing.
Also in 4 projects that use this
woosikkimSkilldeepinit
Generate hierarchical AGENTS.md codebase maps for agent context
Also in 3 projects that use this
klauswgSkilldeep-interview
在明确批准执行之前,通过数学化歧义门控进行苏格拉底式深度访谈
Also in 4 projects that use this
AWSSkillmap
Map verified service capabilities against customer-provided control framework and threat model. Produces mapping-results.json, controls-catalog.md, and framework-mapping.md. Supports pluggable frameworks: CCMv4, NIST 800-53, CIS Benchmarks, ISO 27001, etc. Split into 4 focused sub-skills for better accuracy; this skill orchestrates them.
Also in 4 projects that use this
buddyhSkilldeep-dive
Deep dive on any topic. Decomposes into subtopics, researches each in parallel with thorough source gathering, then synthesizes into a comprehensive report (4,000-10,000+ words, 40-100+ sources). Scales depth dynamically based on topic complexity. Use when asked for a deep dive, deep research, comprehensive analysis, or thorough investigation of a topic.
Also in 3 projects that use this
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 27
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- zereight/gitlab-mcp★ 2.1ksame name
- ai-analyst-lab/ai-analyst★ 304same name
- Soul-Brews-Studio/arra-oracle-skills-cli★ 121same name
- unlearndev/skills★ 101same name
- petrowsky/agentic-fm★ 96same name
- simota/agent-skills★ 96same name
- mbwsims/claude-universe★ 71same name
- myths-labs/muse★ 38same name
17 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 23 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 23 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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