track-my-work
Skill0 starsChanged 5 months agoGPL-3.0View on GitHub
Turn a coding session into actionable ClickUp tasks — either planning new work (a parent task plus subtasks for each major component) or logging completed work (same decomposition, then marking tasks complete and logging time in 15-minute increments per subtask). Verifies the ClickUp connector first, asks whether this is planning or logging, reuses an existing task ID or creates a new task in a confirmed space, always includes PR-review and addressing-PR-comments subtasks, and previews every write before touching ClickUp. Use when the user invokes `/track-my-work`, asks to "log my time in ClickUp", "track this work", "turn this session into ClickUp tasks", "plan this in ClickUp", "log this PR to ClickUp", or similar.
In this repository16 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- brainstormSkill
- clean-codeSkill
- deploy-my-applicationSkill
- document-codebaseSkill
- fastapiSkill
- fix-my-deploymentSkill
- flask-apisSkill
- flaskSkill
- mentorSkill
- orchestratorSkill
- pr-reviewSkill
- rcds-brand-designSkill
- refresh-my-skillsSkill
- review-prSkill
- test-coverageSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
21 rules. About 0 are common, 17 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈17
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.