Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: AI & models
8,867 results · page 201 of 296
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alterlab-molfeatSkillAI & models
Featurizes molecules for machine learning with molfeat (100+ featurizers) — ECFP/MACCS/MAP4 fingerprints, RDKit and Mordred physicochemical descriptors, and pretrained embeddings (ChemBERTa, ChemGPT, GIN) exposed as scikit-learn transformers that convert SMILES into feature vectors. Use when turning
Ready to connect★ 66
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alterlab-pufferlibSkillAI & models
Scales reinforcement learning with PufferLib — high-throughput parallel training (PuffeRL), vectorized environments, and native multi-agent systems achieving 2-10x speedups over standard implementations. Use when scaling RL to millions of steps per second, running vectorized or multi-agent setups, b
Ready to connect★ 66
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alterlab-pymcSkillAI & models
Bayesian modeling and probabilistic programming with PyMC — hierarchical models, MCMC (NUTS) sampling, variational inference, LOO/WAIC model comparison, and posterior predictive checks. Use when fitting Bayesian or hierarchical models, estimating posteriors and credible intervals, running probabilis
Ready to connect★ 66
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alterlab-scgptSkillAI & models
Apply the scGPT single-cell foundation model (Cui 2024) to annotate and embed cells — zero-shot and fine-tuned cell-type annotation, gene/cell embeddings, batch integration, and gene-regulatory / perturbation inference from AnnData. Use when annotating cell types with a pretrained foundation model,
Ready to connect★ 66
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alterlab-scikit-survivalSkillAI & models
Survival analysis and time-to-event modeling in Python with scikit-survival. Use when working with censored survival data, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating predictions with concordance index or Brier score, handling competing risks,
Ready to connect★ 66
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alterlab-scvi-toolsSkillAI & models
Train deep generative models for single-cell omics with scvi-tools — probabilistic batch correction and integration (scVI), reference-mapping transfer learning (scArches), differential expression with uncertainty, and multimodal models (totalVI for CITE-seq, MultiVI for multiome). Use when correctin
Ready to connect★ 66
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alterlab-shapSkillAI & models
Model interpretability and explainability with SHAP (SHapley Additive exPlanations) — feature importance and plots (waterfall, beeswarm, bar, scatter, force, heatmap). Use when explaining ML model predictions, computing feature importance, debugging models, analyzing bias or fairness, comparing mode
Ready to connect★ 66
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alterlab-stable-baselines3SkillAI & models
Trains single-agent reinforcement learning agents with Stable-Baselines3 — PPO, SAC, DQN, TD3, DDPG, and A2C behind a scikit-learn-like API. Use for standard single-agent RL experiments, quick prototyping, well-documented algorithm implementations on Gymnasium environments, or adding callbacks and e
Ready to connect★ 66
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alterlab-workflow-orchestrationSkillAI & models
Composes existing AlterLab skills into multi-agent agentic workflows using current Claude Code subagent and Claude Agent SDK orchestration patterns: parallel subagent fan-out, sequential pipelines, judge panels, adversarial verification, and loop-until-clean review cycles. Maps each pattern onto rea
Ready to connect★ 66
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analyze-test-failuresSkillAI & models
Analyzes failing test cases to determine whether failures indicate genuine bugs or incorrect test implementations. Use when debugging test failures, investigating test errors, classifying failures as test bugs vs implementation bugs vs ambiguous behavior, or when given specific failing test names or
Ready to connect★ 66
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api-stateSkillAI & models
Fetch and report current API syntax, changelog entries, and breaking changes for a specific library or protocol version. One research angle within a parallel technical-research set — runs independently and returns a structured cited report. Invoke when a specific library name and version are the tar
Ready to connect★ 66
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arlSkillAI & models
Knowledge reference for Autonomous Refinement Loop research — pattern research into prerequisites for autonomous execution without synchronous human blocking gates. Defines failure categories, prerequisites, and conditions for replacing human judgment with machine-verifiable checks. Use when designi
Ready to connect★ 66
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assessment-reportingSkillAI & models
Format and score completed plugin assessment findings without starting another assessment workflow. Use when a plugin assessment needs the standard report structure, scoring criteria, severity breakdown, or marketplace-readiness result.
Ready to connect★ 66
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bash-51-featuresSkillAI & models
Bash 5.1 release features and improvements with practical examples. Use when working with Bash 5.1 features, epoch time variables, redirection enhancements, or when user asks about Bash 5.1 changes, new features, or version-specific capabilities.
Ready to connect★ 66
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bash-52-featuresSkillAI & models
Bash 5.2 release features and improvements with practical examples. Use when working with Bash 5.2 features, variable handling enhancements, readline improvements, or when user asks about Bash 5.2 changes, new features, or version-specific capabilities.
Ready to connect★ 66
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bash-53-featuresSkillAI & models
Bash 5.3 release features and improvements with practical examples. Use when working with Bash 5.3 features, new command substitution, GLOBSORT, loadable builtins, or when user asks about Bash 5.3 changes, new features, or version-specific capabilities.
Ready to connect★ 66
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bash-developmentSkillAI & models
This skill should be used when the user asks to "write a bash script", "create a shell script", "implement bash function", "parse arguments in bash", "handle errors in bash", or mentions bash development, shell scripting, script templates, or modern bash patterns.
Ready to connect★ 66
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bash-portabilitySkillAI & models
This skill should be used when the user asks about "POSIX compatibility", "portable shell scripts", "cross-shell compatibility", "bashisms", "shebang selection", or mentions writing scripts that work on different shells (bash, sh, dash, zsh) or different systems.
Ready to connect★ 66
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clang-formatSkillAI & models
Configure clang-format code formatting. Use when: user mentions clang-format or .clang-format, analyzing code style/patterns, creating/modifying formatting config, troubleshooting formatting, brace styles/indentation/spacing/alignment/pointer alignment, or codifying conventions.
Ready to connect★ 66
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code-explanationSkillAI & models
Get layered, context-aware explanations of unfamiliar code. Understand what it does, why it was written that way, and how to work with it safely.
Ready to connect★ 66
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code-review-claude-skillsSkillAI & models
Loaded automatically when reviewing Claude skills or agent definitions — covers SKILL.md structure, frontmatter validity, token budget, description quality, and agent contract compliance.
Ready to connect★ 66
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code-review-cliSkillAI & models
Reviews CLI application code for correctness and quality. Use when reviewing tools that use argparse, click, typer, commander.js, or similar argument parsers — covers exit codes, help flags, stdin/stdout/stderr separation, non-interactive operation, signal handling, argument validation, ANSI color s
Ready to connect★ 66
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code-review-llmSkillAI & models
Use when reviewing AI/ML code or LLM integration — activates on prompt templates, model selection logic, token budget concerns, or evaluation harness code. Enforces prompt hygiene, model tier matching, context window management, token economics, structured output validation, temperature settings, re
Ready to connect★ 66
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complete-milestoneSkillAI & models
Close a completed GitHub milestone and generate a completion summary. Use when a sprint or release is finished and needs to be officially closed. Audits open and closed issues, offers to carry forward open items to a new or existing milestone, closes the milestone, updates Project V2 Status to Done
Ready to connect★ 66
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comprehensive-test-reviewSkillAI & models
Performs checklist-driven review of pytest test suites against coverage thresholds (80% line/branch minimum, 95% for critical paths), AAA pattern adherence, pytest-mock usage, test isolation, naming clarity, type hints, and flaky pattern detection. Use when auditing test quality before a release, re
Ready to connect★ 66
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create-milestoneSkillAI & models
Creates a GitHub milestone on the current repository and returns its number for downstream use. Use when starting a new sprint, release, or theme grouping of backlog items. No args triggers guided intake (title, due date, description); 'quick {title}' skips to description only. Checks for duplicates
Ready to connect★ 66
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debugging-methodologySkillAI & models
Systematic root cause analysis for production and development bugs. Hypothesis-driven debugging — never guess-and-check.
Ready to connect★ 66
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define-strategySkillAI & models
Product strategy workflow — chain positioning, business model, OKRs, and roadmap Use when: Defining product strategy, setting OKRs, planning roadmap, or making strategic decisions
Ready to connect★ 66
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discoverySkillAI & models
Use when starting a new feature, gathering requirements for an unfamiliar domain, refining a vague idea into actionable scope, or when a user request is ambiguous or underspecified. Conducts SAM Stage 1 discovery — structured requirements gathering through user discussion, asking WHO/WHAT/WHEN/WHY a
Ready to connect★ 66
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dispatch-contractSkillAI & models
Which agent a dh workflow dispatches, and the artifact consumer invariant.
Ready to connect★ 66
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
53,462 of the 53,895 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.