spark
Skill1 starsChanged 7 months agoNo licenceView on GitHub
Use when the user shares a vague idea, notion, or "what if" that isn't clear enough to plan yet. Triggers on phrases like "I have an idea", "I've been thinking about X", "what if we did Y", or any fuzzy concept without defined scope. Sits before brainstorming or planning — use this to get clear on WHAT, before planning HOW.
12 other projects use a version of this.
Adopted by
Most recently taken up by
- supabase/evalstheir own version, first seen Nov 8, 2026
- huuphuoc1396/android-claude-skillstheir own version, first seen Nov 1, 2026
- simota/agent-skillstheir own version, first seen Oct 23, 2026
- G1Joshi/Agent-Skillstheir own version, first seen Oct 13, 2026
- nimadorostkar/Claude-Skills-collectiontheir own version, first seen Oct 13, 2026
- geeks-accelerator/in-bed-aitheir own version, first seen Sep 29, 2026
Used with
Projects with it also use Forge.
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.
ikennaokpalaSkillForge
Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification, exhaustive E2E testing, and self-healing fix loops. Combines DDD+ADR+TDD methodology with BDD/Gherkin specifications, 7 quality gates, defect prediction, chaos testing, and cross-context dependency awareness. Architecture-agnostic - works with monoliths, microservices, modular monoliths, and any bounded-context topology.
Also in 3 projects that use this
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- supabase/evals★ 151same name
- tance-mang/chinese-webnovel-skills★ 97same name
- simota/agent-skills★ 96same name
- wishworldbetter/seedex-skills★ 50same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- geeks-accelerator/in-bed-ai★ 26same name
- a-lottes/aSPARK★ 25same name
- G1Joshi/Agent-Skills★ 15same name
- huuphuoc1396/android-claude-skills★ 1same name
- jord0-cmd/jord0.skills★ 1same name
2 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
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
5
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 11 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.
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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.

