Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
7,881 skills from 207 repositories · updated 5 minutes ago
907 skills
- code-review-excellencewshobson/agentsMaster effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.EngineeringNo warnings★ 41.4K↓ —
- python-project-structurewshobson/agentsPython project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.EngineeringNo warnings★ 41.4K↓ —
- spark-optimizationwshobson/agentsOptimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.EngineeringNo warnings★ 41.4K↓ —
- multi-reviewer-patternswshobson/agentsCoordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.EngineeringNo warnings★ 41.4K↓ —
- sponsor-findergithub/awesome-copilotFind which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").EngineeringNo warnings★ 40.3K↓ —
- workiq-copilotgithub/awesome-copilotGuides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations.EngineeringNo warnings★ 40.3K↓ —
- grpo-rlvr-trainingwshobson/agentsTrain reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.EngineeringNo warnings★ 41.4K↓ —
- fastapi-templateswshobson/agentsCreate production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.EngineeringNo warnings★ 41.4K↓ —
- debugging-strategieswshobson/agentsMaster systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.EngineeringNo warnings★ 41.4K↓ —
- python-packagingwshobson/agentsCreate distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.EngineeringNo warnings★ 41.4K↓ —
- parallel-debuggingwshobson/agentsDebug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.EngineeringNo warnings★ 41.4K↓ —
- python-resiliencewshobson/agentsPython resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.EngineeringNo warnings★ 41.4K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.EngineeringNo warnings★ 47.8K↓ —
- python-type-safetywshobson/agentsPython type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.EngineeringNo warnings★ 41.4K↓ —
- go-concurrency-patternswshobson/agentsMaster Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.EngineeringNo warnings★ 41.4K↓ —
- open-code-reviewalibaba/open-code-reviewPerforms AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.EngineeringNo warnings★ 47.8K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.EngineeringNo warnings★ 47.8K↓ —
- preference-optimizationwshobson/agentsAlign a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.EngineeringNo warnings★ 41.4K↓ —
- open-code-reviewalibaba/open-code-reviewPerforms AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.EngineeringNo warnings★ 47.8K↓ —
- react-modernizationwshobson/agentsUpgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.EngineeringNo warnings★ 41.4K↓ —
- python-configurationwshobson/agentsPython configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.EngineeringNo warnings★ 41.4K↓ —
- rust-async-patternswshobson/agentsMaster Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.EngineeringNo warnings★ 41.4K↓ —
- cohesivitysickn33/agentic-awesome-skillsProvision headless backend services for AI agents through Cohesivity: hosting, databases, storage, LLMs, and third-party APIs over one HTTP API. Use when a trusted .cohesivity file exists or the user approves a new backend.EngineeringNo warnings★ 48.2K↓ —
- commitsickn33/agentic-awesome-skillsPrepare or create commits using Sentry-style message conventions when the repository requests them; inspect staged scope and honor its protected branch workflow.EngineeringNo warnings★ 48.2K↓ —
preference-optimization
wshobson/agents
EngineeringUpdated 2 days ago
From the author
Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.
Install
npx skills add wshobson/agents --skill preference-optimization -a claude-code
Installs to .claude/skills/preference-optimization/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (2)
- SKILL.md
- references/method-configs.md