Bewerte feinabgestimmte Checkpoints mit Drift-Budgets, paarweisen Vergleichen und Vergessensprüfungen vor der Promotion. Verwende dies, nachdem ein Trainingslauf einen Checkpoint erzeugt hat, wenn du entscheidest, ob ein abgestimmtes Modell ausgeliefert wird, oder wenn ein bereits promotetes Modell erneut gegen aktualisierte Goldstandards geprüft werden muss.
Die Fähigkeit `wshobson/checkpoint-promotion` dient als Qualitätssicherungs-Gateway für feinabgestimmte KI-Modelle. Sie definiert eine Reihe von automatisierten Prüfungen, die ein Checkpoint bestehen muss, bevor er von einem Experimentier-Stadium in eine produktionsnahe Umgebung (Promotion) überführt wird. Zu diesen Prüfungen gehören die Bewertung des Drifts gegenüber einem Referenzdatensatz (Drift-Budget), ein statistisch fundierter paarweiser Vergleich des abgestimmten Modells mit einem Basismodell (z. B. mittels A/B-Tests auf Metriken), sowie die Überprüfung auf das Vergessen von zuvor gelerntem Wissen (Catastrophic Forgetting). Die Fähigkeit ist ideal geeignet für MLOps-Pipelines und kann manuell oder als Teil eines CI/CD-Prozesses für KI-Modelle ausgeführt werden. Sie unterstützt gängige ML-Plattformen und Frameworks wie MLflow bei der Verfolgung von Experimenten und Modellversionen. Durch die Integration dieser Prüfungen wird sichergestellt, dass nur robuste und qualitativ hochwertige Modellversionen gefördert werden, was das Risiko von Verschlechterungen in der Produktion minimiert.
npx skills add https://github.com/wshobson/agents/tree/main/plugins/llm-finetuning/skills/checkpoint-promotionBewerte feinabgestimmte Checkpoints mit Drift-Budgets, paarweisen Vergleichen und Vergessensprüfungen vor der Promotion. Verwende dies, nachdem ein Trainingslauf einen Checkpoint erzeugt hat, wenn du entscheidest, ob ein abgestimmtes Modell ausgeliefert wird, oder wenn ein bereits promotetes Modell erneut gegen aktualisierte Goldstandards geprüft werden muss.
This repo contains 20 individual skills — each has its own dedicated page.
Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.
Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.
Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.
Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating invoicing, or managing recurring payment systems.
Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.
Configure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags. Use when setting up Claude Code projects that enforce commit quality gates.
Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens — use frontend-design instead.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.