Task Observer
Skill1 starsChanged 6 months agoNo licenceView on GitHub
Monitors task execution for skill improvement opportunities. Use this skill during ANY multi-step task, agentic workflow, or substantive work session where the agent is using tools and producing deliverables. It captures patterns, user corrections, workflow insights, and methodology worth preserving as reusable skills. Also triggers during post-task feedback discussions and when the user explicitly mentions skill observations, improvements, the observation log, skill taxonomy, or asks the agent to watch for skill opportunities. Also known as "One Skill to Rule Them All" — trigger on this phrase too. IMPORTANT: this skill should be invoked at the start of every task-oriented session — if you are about to use tools to produce deliverables, invoke this skill first. For reliable activation, pair this description with a CLAUDE.md instruction or harness-level session-start hook (see Recommended Activation Setup) — description-level matching alone is not enforceable.
In this repository21 other files it gives its agents.
- ad-creativeSkill
- analytics-trackingSkill
- avoid-ai-writingSkill
- brainstormingSkill
- community-marketingSkill
- competitor-alternative-pagesSkill
- content-research-writerSkill
- Content WriterSkill
- copywriting-frameworkSkill
- crowdcastSkill
- csv-data-summarizerSkill
- customer-researchSkill
- email-marketing-sequence-automationSkill
- grill-meSkill
- humanizer-soul-touchSkill
- linkedin-postSkill
- marketing-ideas-saasSkill
- marketing-psychologySkill
- monetizing-innovationSkill
- pricing-strategySkill
- who-built-this-before-meSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
21 rules. About 0 are common, 12 are distinctive, and 9 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈12
Distinctive · estimate
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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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.

