Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: circuit

Englisches Verzeichnis

A digital logic designer and circuit simulator.

5.8K
Stars
81/100
Trust
Kategorie: educationAudit

SumUp's design system for the web

972
Stars
71/100
Trust
Kategorie: design-creativeAudit

End-to-end AI short-video production pipeline. FastAPI orchestration + Spring Boot gateway with multi-model failover, circuit breaker, metering, and full-stack observability. AI quality gating: prompt anchoring, CLIP consistency, AV sync auto-rescue.

342
Stars
69/100
Trust
Kategorie: media-automationAudit

Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golang@golang-naming` skill), linter configuration (→ See `samber/cc-skills-golang@golang-lint` skill), or doc comments (→ See `samber/cc-skills-golang@golang-documentation` skill).

3.0K
Stars
67/100
Trust
Kategorie: coding-agentsAudit

Genetic circuit design automation

877
Stars
63/100
Trust
Kategorie: design-creativeAudit

For a detached wiki ingester only. The main agent never loads this. Defines orientation protocol, page format, role guardrail, validator contract, manifest protocol, and deterministic completion contract. Loaded by the provider-aware runtime worker.

101
Stars
63/100
Trust
Kategorie: automationAudit

An AI agent skill for creating animation-rich HTML presentations from scratch or by converting PowerPoint files.

11
Stars
65/100
Trust
Kategorie: presentationAudit

Scientific research engine with adversarial review, tree search, and serendipity detection. Use when: exploring hypotheses, validating findings against literature, running computational experiments with quality gates, or hunting for unexpected discoveries. Do NOT use for simple Q&A, code editing, or non-research tasks.

16
Stars
58/100
Trust
Kategorie: researchAudit