skill-router
Skill69 starsChanged 4 days agoNo licenceView on GitHub
Decide which installed skill, or which chain of two or three skills, fits a task before starting it, and run them in the right order with each one's output feeding the next. Works with any set of skills, because it reads every installed skill's description at run time. Use when a task is big or vague, could fit several skills, or needs more than one ("which skill should I use", "what's the best way to do this", "plan the steps", "use whatever skills make sense"), or when it's unclear whether any skill applies.
58 other projects use a version of this.
Adopted by
Most recently taken up by
- byrmeng/skill-routertheir own version, first seen Nov 8, 2026
- nicklasorte/skillstheir own version, first seen Nov 8, 2026
- KRISH-exe-29/ai-agent-skill-routertheir own version, first seen Nov 8, 2026
- SWEStash/swe-workflow-skillstheir own version, first seen Nov 8, 2026
- rodeyseijkens/skillstheir own version, first seen Nov 6, 2026
- qduc/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use context-engineering, accessibility 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.
mrgoonieSkillcontext-engineering
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
Also in 3 projects that use this
ElasticSkillaccessibility
Accessibility guidance for Kibana. Use this skill when working with or reviewing EUI components, resolving a11y-related (@elastic/eui) ESLint issues, and ensuring proper use of ARIA attributes, focus management, keyboard interactions, and accessible naming conventions.
Also in 3 projects that use this
MicrosoftSkillcaveman
Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules
Also in 4 projects that use this
SupabaseSkillcopywriting
Write or audit UI copy (buttons, labels, empty states, error messages, tooltips, form text) anywhere in the monorepo. Load it before shipping or reviewing any user-facing text — including when copy is incidental to the task, like a new feature that adds buttons, toasts, dialogs, or validation messages.
Also in 3 projects that use this
GoogleSkillteach
Teach the user a new skill or concept, within this workspace.
Also in 3 projects that use this
GoogleSkilldomain-modeling
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
Also in 3 projects that use this
- +4 more from google
Other versions58 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 58
- rohitg00/pro-workflow★ 2.9ksame name
- stevesolun/ctx★ 583same name
- Fmarzochi/EGC★ 61same name
- hussi9/skill-router★ 32same name
- Fandry96/k3-agentic-skills★ 27same name
- pcx-wave/skill-router★ 26same name
- Hassaan146/claude-skills★ 18same name
- AnamKwon/agent-skill-router★ 9same name
- Nirusan/claude-config★ 7same name
- CowboyLogic/ai-dev★ 4same name
48 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.
In this repository23 other files it gives its agents.
- api-design-reviewSkill
- benchmark-honestlySkill
- bisect-anythingSkill
- codebase-mapSkill
- dx-auditSkill
- flaky-test-killerSkill
- security-threat-modelSkill
- brand-kitSkill
- image-genSkill
- from-scratchSkill
- paper-to-runnableSkill
- system-design-from-scratchSkill
- teach-backSkill
- next-stepSkill
- video-scriptSkill
- clean-audioSkill
- code-loopSkill
- perspective-illusionSkill
- repo-timelapseSkill
- reverse-engineer-videoSkill
- rough-cutSkill
- scripted-screencastSkill
- vox-explainerSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 49 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
0
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 measured: kept by at least 6 in 10 of the 49 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.
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.

