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
9,019 results · page 106 of 301
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scope-disciplineSkillAI & models
Use when about to send a request to, scan, enumerate, exploit, or otherwise interact with any host, IP, URL, or asset — before the first packet reaches a target
Ready to connect★ 363
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seaborn-statistical-plotsSkillAI & models
Statistical visualization on matplotlib with native pandas support. Auto aggregation, CIs, grouping for distributions (histplot, kdeplot), categorical (boxplot, violinplot), relational (scatterplot, lineplot), regression (regplot, lmplot), matrix (heatmap, clustermap), grids (pairplot, FacetGrid). U
Ready to connect★ 363
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seaborn-statistical-visualizationSkillAI & models
Statistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter, line), categorical, regression, correlation heatmaps. Auto aggregation/CIs. Use plotly for interactive; matplotlib for low-level.
Ready to connect★ 363
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shellcode-devSkillAI & models
Use when writing position-independent shellcode or a loader — PEB walking, API hashing, null-byte avoidance, encoders, loaders, PE-to-shellcode conversion, cross-platform shellcode
Ready to connect★ 363
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simpy-discrete-event-simulationSkillAI & models
Process-based discrete-event simulation. Model queues, shared resources, timed events: manufacturing, service ops, network traffic, logistics. Processes are Python generators yielding events. Resources: capacity-limited (Resource/Priority/Preemptive), bulk (Container), objects (Store, FilterStore).
Ready to connect★ 363
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single-cell-annotationSkillAI & models
Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
Ready to connect★ 363
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statistical-significance-annotationSkillAI & models
Guide for annotating statistical significance (p-value asterisks) on comparison plots. Covers standard notation (ns, *, **, ***, ****), matplotlib bracket+asterisk implementation, and use with seaborn box/violin/bar plots. Use when preparing publication-ready figures with significance markers.
Ready to connect★ 363
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statsmodels-statistical-modelingSkillAI & models
Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests. Use scikit-learn for ML; statistical-analysis for test choice.
Ready to connect★ 363
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sympy-symbolic-mathSkillAI & models
Symbolic math in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, ODEs, code gen (lambdify, C/Fortran). Use for exact symbolic results. For numerical use numpy/scipy; for stats use statsmodels.
Ready to connect★ 363
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transformers-bio-nlpSkillAI & models
HuggingFace Transformers with biomedical LMs (BioBERT, PubMedBERT, BioGPT, BioMedLM) for scientific NLP: NER (genes, diseases, chemicals), relation extraction, QA, text classification, abstract summarization. Covers loading, biomedical tokenization, inference pipelines, fine-tuning. Alternatives: sp
Ready to connect★ 363
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western-blot-quantificationSkillAI & models
Protocols and best practices for western blot quantification and analysis including band detection, normalization, and statistical methods.
Ready to connect★ 363
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windows-mitigations-bypassSkillAI & models
Use when bypassing a Windows exploit/platform mitigation — ASLR/DEP/CFG/XFG/CET, ACG/CIG, WDAC/App Control, ASR/AMSI/ETW, PPL/LSA Protection, BYOVD/VBS/HVCI
Ready to connect★ 363
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writing-offensive-skillsSkillAI & models
Use when creating or editing a skill in this offensive-claude repo — for the SKILL.md conventions (trigger descriptions, technique map, runnable scripts, OPSEC/detection, red-flags tables, flowchart rules)
Ready to connect★ 363
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basic-functional-skillSkillAI & models
Starter template for a functional agent skill.
Ready to connect★ 361
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tax-housing-loan-contextSkillAI & models
Background context for housing loan tax credit (住宅ローン控除) in the shinkoku tax filing plugin. Contains eligibility requirements, credit limits, calculation rules, and interaction with furusato-nozei for the current tax year. This skill is not user-invocable — Claude loads it automatically when respond
Ready to connect★ 359
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tax-legal-contextSkillAI & models
Background legal and regulatory context for the shinkoku tax filing plugin. Contains the standard disclaimer about the scope of tax information provided, the relationship to the Tax Accountant Act (税理士法), and tool limitations. This skill is not user-invocable — Claude loads it automatically when gen
Ready to connect★ 359
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robotics-testingSkillAI & models
Testing strategies, patterns, and tools for robotics software. Use this skill when writing unit tests, integration tests, simulation tests, or hardware-in-the-loop tests for robot systems. Trigger whenever the user mentions testing ROS nodes, pytest with ROS, launch_testing, simulation testing, CI/C
Ready to connect★ 358
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AgentDB Learning PluginsSkillAI & models
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Ready to connect★ 357
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ocrSkillAI & models
AI-powered multi-agent code review. Simulates a team of Principal Engineers reviewing code from different perspectives. Use when asked to review code, check a PR, analyze changes, or perform code review.
Ready to connect★ 357
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OCR Review-to-Approval LoopSkillAI & models
Drive a PR to an approved code review by looping OCR's multi-agent review and address steps. Runs /ocr:review then /ocr:address repeatedly until the review verdict is APPROVE, then one final /ocr:address for leftover suggestions, posting every review and every address round to the GitHub PR as comme
Ready to connect★ 357
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Skill BuilderSkillAI & models
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
Ready to connect★ 357
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sparc-methodologySkillAI & models
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
Ready to connect★ 357
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stream-chainSkillAI & models
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Ready to connect★ 357
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V3 CLI ModernizationSkillAI & models
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
Ready to connect★ 357
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V3 Core ImplementationSkillAI & models
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
Ready to connect★ 357
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V3 Deep IntegrationSkillAI & models
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
Ready to connect★ 357
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skill-makerSkillAI & models
Scaffold a new Architecture Studio skill for Codex or Claude Code following this repo's conventions — copy a canonical template, apply the PATTERNS.md checklist, and verify it. Use when the user invokes skill-maker, asks to create or package a new skill, or wants to turn a procedure into a reusable
Ready to connect★ 353
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studio-feedbackSkillAI & models
Prepare a user-reviewed Architecture Studio bug report or feature request for GitHub. Use when the user runs /as:studio-feedback, says "report a bug", "this skill broke", "send feedback", or requests a feature. Do not use for Claude Code's native /feedback command.
Ready to connect★ 353
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tool-catalogSkillAI & models
Show the available Architecture Studio skills and their host-appropriate commands, plus Claude Code's native Architecture Studio agents. Use when the user invokes tool-catalog, asks "what can you do" or "what skills are available", or wants a directory of plugin commands. Do not use for a host's nat
Ready to connect★ 353
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.
54,764 of the 55,196 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.