architecture-decision
Skill1 starsChanged 9 months agoNo licenceView on GitHub
Generate and review Architecture Decision Records (ADRs) for significant technical decisions
We split this skill into the rules it gives an agent
9 rules. 0 are common, 4 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 28 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
5
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 28 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.
Other versions30 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 30
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- Azure/agent-landing-zone★ 1.2ksame name
- Azure/GPT-RAG★ 1.2ksame name
- pixel-cellar/Claude-Code-Game-Studios★ 324same name
- Azure/agent-app-ingestion★ 188same name
- Azure/gpt-rag-ingestion★ 188same name
- Azure/agent-app-orchestrator★ 107same name
- Azure/gpt-rag-orchestrator★ 107same name
- striderZA/OpenCodeGameStudios★ 93same name
- cenconq25/claude-code-app-studio★ 40same name
20 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.
Used alongsideProjects with it also use team-level, team-narrative 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.
CoralGameSkillteam-level
Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area/level creation.
Also in 10 projects that use this
CoralGameSkillteam-narrative
Orchestrate the narrative team: coordinates narrative-director, writer, world-builder, and level-designer to create cohesive story content, world lore, and narrative-driven level design.
Also in 10 projects that use this
lilangMaxSkillcreate-stories
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.
Also in 9 projects that use this
lilangMaxSkillstory-done
End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.
Also in 9 projects that use this
- +8 more from lilangMax
In this repository34 other files it gives its agents.
- board-deckSkill
- cap-tableSkill
- ceoSkill
- cfoSkill
- cmoSkill
- coachSkill
- cpoSkill
- create-issueSkill
- create-planSkill
- ctoSkill
- designerSkill
- documentSkill
- executeSkill
- exploreSkill
- finance-forecastSkill
- fundraise-prepSkill
- gtm-analyticsSkill
- gtm-contentSkill
- gtm-deal-intelSkill
- gtm-icpSkill
- gtm-infraSkill
- gtm-lead-captureSkill
- gtm-lifecycleSkill
- gtm-monetizationSkill
- gtm-onboardingSkill
- gtm-outboundSkill
- gtm-prospectingSkill
- infra-costSkill
- leadership-syncSkill
- learning-oppSkill
- peer-reviewSkill
- pmSkill
- reviewSkill
- tech-debtSkill
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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Your trail
Files you open will collect here, so you can find them again.
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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.

