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: parallelism

Englisches Verzeichnis

A Codex Skill for coordinating four specialized subagents to handle development, research, analysis, and review tasks.

70
Stars
69/100
Trust
Kategorie: coding-agentsAudit

A CLI tool and installable skill for testing and benchmarking agent skills across different agents and sandboxes.

37
Stars
67/100
Trust
Kategorie: utilityAudit

Create or update practical, code-informed plans and trackers. Use ONLY when the user explicitly asks to make or change a plan or tracker. It may also self-invoke while planning a new feature, larger refactor, or other large effort that would benefit from multiple steps or PR splits. Do not self-invoke for routine implementation, small fixes, or ordinary single-step work.

105
Stars
66/100
Trust
Kategorie: coding-agentsAudit

Write insight-driven technical newsletters: tutorials, analysis, industry breakdowns, how-tos, and data-led explainers. Use when the newsletter's value is the information rather than the narrative. Enforces the EW anti-AI rules, specificity standards, and the writer's voice profile.

28
Stars
67/100
Trust
Kategorie: researchAudit

Implement and finalize one ready rolling-wave slice in one invocation while preserving the lifecycle boundary between implementation and independent review. Use when the user wants a slice delivered end to end without manually invoking implement-slice and finalize-slice, wants main-local implementation by default with workers only when delegation pays, followed by mandatory fresh-context finalization, or says deliver, implement and finalize, or take the slice through review.

13
Stars
61/100
Trust
Kategorie: automationAudit