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: ra-l

Englisches Verzeichnis

Generate topic-first, two-part video-title candidates from an approved video brief or final script.

1.3K
Stars
66/100
Trust
Kategorie: Video CreationAudit

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

34K
Stars
77/100
Trust
Kategorie: data-analysisAudit

Route a content idea through topic capture, research, production planning, publishing, and archive steps for a video content workspace.

1.3K
Stars
66/100
Trust
Kategorie: Video CreationAudit

Plan a practical long-form video with test prompts, recording structure, narration beats, screen-recording steps, and production handoff.

1.3K
Stars
66/100
Trust
Kategorie: Video CreationAudit

Generate real-timestamp subtitle artifacts from final narration audio or merged video with a caption quality gate.

1.3K
Stars
66/100
Trust
Kategorie: Video CreationAudit

Build a reproducible local rough-cut workflow for talking-head or narrated screen-recording videos with transcript review gates.

1.3K
Stars
64/100
Trust
Kategorie: Video CreationAudit

Turn creator performance data into a documented retrospective, grounded hypotheses, and reusable content learnings.

1.3K
Stars
66/100
Trust
Kategorie: Video CreationAudit

Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.

25K
Stars
77/100
Trust
Kategorie: engineering / code qualityAudit

Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.

25K
Stars
73/100
Trust
Kategorie: researchAudit

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

675
Stars
67/100
Trust
Kategorie: robotics-iotAudit

SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

584
Stars
71/100
Trust
Kategorie: robotics-iotAudit

[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints

431
Stars
65/100
Trust
Kategorie: robotics-iotAudit