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: convenience

Englisches Verzeichnis

Mandatory iPolloWork code-change gate for modern, minimal, performant, reuse-first implementation and clean repository ownership. Use whenever AI creates, edits, deletes, or refactors application code, server code, packages, scripts, tests, dependencies, schemas, routes, UI, or generated-file workflows. Reuse existing code before creating files, keep one source of truth, prevent parallel implementations and junk directories, justify every new file or dependency, and audit the current change before completion.

4.5K
Stars
67/100
Trust
Kategorie: securityAudit

Generic code-authoring standards for dev agents: correctness over convenience, no fail-open branches, comment rules, over-engineering limits, prove-your-guards. Load before writing or modifying code.

63
Stars
68/100
Trust
Kategorie: coding-agentsAudit

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47
Stars
62/100
Trust
Kategorie: automationAudit
Dbr61

Additions to Go's database/sql for super fast performance and convenience. (fork of gocraft/dbr)

178
Stars
61/100
Trust
Kategorie: data-analysisAudit

Generate, write, or run an ad-hoc query against SigNoz observability data — metrics, logs, or traces — without wrapping it in a dashboard panel or alert. Make sure to use this skill whenever the user asks "show me error rates", "query logs for timeout errors", "what's the p99 latency for the cart service", "how many requests hit the payment endpoint", "find slow traces", "errors in the last hour", or otherwise asks an exploratory question that needs live observability data — even if they don't say "query" or "search" explicitly.

15
Stars
58/100
Trust
Kategorie: researchAudit