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Agent Skills by stark AI
Give coding agents specs, guardrails and local code context
10 open-source skills for Codex, Cursor and Claude Code. Turn rough requests into verified specs with Codex Spec Interviewer, reuse hand-curated ADRs with Architecture Compass, and index your codebase locally with CodeGraph + ast-grep. Plain Markdown you can read and adapt. Refined through 330+ commits and daily professional use. Clear scope and guardrails help reduce repeated discovery, save tokens and make faster models practical for scoped work. Free under Apache-2.0.
Hi Product Hunt! I'm Marcel. After 330+ commits and months of real-world refinement, I'm sharing Agent Skills: 10 free, open-source skills for Codex, Cursor and Claude Code.
1. Codex Spec Interviewer Turn a rough request into a user-verified spec with scope, acceptance criteria and validation commands. Our team and other senior developers on enterprise codebases use it multiple times a day.
2. Architecture Compass 50 hand-curated, accepted ADRs (Architecture Decision Records), each with a short summary, full decision and practical guide. For example:
3. CodeGraph + ast-grep Guided setup for local indexing, symbol and caller lookup, and structural code search. No hosted indexing service required—useful where public MCP services are prohibited but approved local tools are allowed. Your agent and model still need to meet your organization's data policy.
Why we use them In our experience, specs and ADRs reduce repeated discovery, save tokens and make faster models practical for scoped implementation. Results vary by task and model.
Evidence you can inspect Evaluation cases and recorded results live in GitHub, outside installed skills to keep runtime instructions lean. Scenarios cover features, refactors, migrations and failure paths. Daily professional use provides feedback beyond the eval suite.
Skills, ADRs and specs are human-readable Markdown. Adopt and adapt what fits your repository. Free under Apache-2.0.
Get the skills → Which would help you most: clearer specs, architecture guardrails, or local code context?
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About Agent Skills by stark AI on Product Hunt
“Give coding agents specs, guardrails and local code context”
Agent Skills by stark AI was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #135 on the daily leaderboard. 10 open-source skills for Codex, Cursor and Claude Code. Turn rough requests into verified specs with Codex Spec Interviewer, reuse hand-curated ADRs with Architecture Compass, and index your codebase locally with CodeGraph + ast-grep. Plain Markdown you can read and adapt. Refined through 330+ commits and daily professional use. Clear scope and guardrails help reduce repeated discovery, save tokens and make faster models practical for scoped work. Free under Apache-2.0.
Agent Skills by stark AI was featured in Open Source (68.9k followers), Developer Tools (519.8k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 223k products, making this a competitive space to launch in.
Who hunted Agent Skills by stark AI?
Agent Skills by stark AI was hunted by Marcel Mayer. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Agent Skills by stark AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Marcel Mayer
Hi Product Hunt! I'm Marcel. After 330+ commits and months of real-world refinement, I'm sharing Agent Skills: 10 free, open-source skills for Codex, Cursor and Claude Code.
1. Codex Spec Interviewer
Turn a rough request into a user-verified spec with scope, acceptance criteria and validation commands. Our team and other senior developers on enterprise codebases use it multiple times a day.
2. Architecture Compass
50 hand-curated, accepted ADRs (Architecture Decision Records), each with a short summary, full decision and practical guide. For example:
Keep secrets out of browser code.
Validate and authorize writes.
Test affected contracts and preserve mandatory checks.
3. CodeGraph + ast-grep
Guided setup for local indexing, symbol and caller lookup, and structural code search. No hosted indexing service required—useful where public MCP services are prohibited but approved local tools are allowed. Your agent and model still need to meet your organization's data policy.
Why we use them
In our experience, specs and ADRs reduce repeated discovery, save tokens and make faster models practical for scoped implementation. Results vary by task and model.
Evidence you can inspect
Evaluation cases and recorded results live in GitHub, outside installed skills to keep runtime instructions lean. Scenarios cover features, refactors, migrations and failure paths. Daily professional use provides feedback beyond the eval suite.
Skills, ADRs and specs are human-readable Markdown. Adopt and adapt what fits your repository. Free under Apache-2.0.
Get the skills →
Which would help you most: clearer specs, architecture guardrails, or local code context?