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
9,017 results · page 276 of 301
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diagramsSkillAI & models
Use when creating technical diagrams as code. Covers Mermaid for architecture, sequence, and flow diagrams, choosing the right diagram type, and keeping diagrams accurate as the system changes.
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earnings-analysisSkillAI & models
Use when analyzing an earnings report or the market's reaction to one. Covers what actually matters in the release, the reaction as information, guidance versus results, and post-earnings drift.
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editingSkillAI & models
Use when editing prose for clarity and force. Covers cutting, structural editing, the specific constructions that weaken writing, and editing someone else's work without destroying their voice.
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error-coordinatorSkillAI & models
Use when multiple errors or symptoms need to be grouped, prioritized, and assigned to the right debugging or review agents.
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frontend-architectureSkillAI & models
Lets your agent structure React or React Native apps into feature modules with clear state and import rules.
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generative-artSkillAI & models
Use when creating algorithmic or generative visual art. Covers composition through code, controlled randomness, colour systems, and building work that is varied without being arbitrary.
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hyalo-skillsSkillAI & models
Validate and maintain Agent Skills collections using Hyalo's skills profile, including Codex and Claude skill directories.
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iosSkillAI & models
Use when building native iOS applications. Covers SwiftUI architecture, state management, navigation, networking, persistence, background behavior, and App Store submission requirements.
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knowledge-representationSkillAI & models
A comprehensive skill for designing and implementing knowledge representation systems including ontologies, knowledge graphs, semantic networks, and structured data models. Covers semantic networks, ontologies, knowledge graphs, frame-based systems, logical representation, probabilistic representati
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knowledge-synthesizerSkillAI & models
Use when multiple agents have returned findings and the parent agent needs a distilled, non-redundant synthesis.
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lead-researchSkillAI & models
Use when researching prospects or accounts before outreach. Covers qualification, finding the trigger event, identifying the right contact, and producing a brief that makes outreach specific rather than generic.
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legacy-modernizationSkillAI & models
Use when incrementally modernizing a legacy system without a rewrite. Covers characterization tests, seams, the strangler pattern, and sequencing migrations so the system stays shippable throughout.
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llm-cost-optimizationSkillAI & models
Use when an LLM feature costs too much. Covers prompt caching, context reduction, model routing, batching, output limits, and finding where the tokens actually go.
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llm-integrationSkillAI & models
Use when integrating an LLM API into an application. Covers streaming, retries and rate limits, timeouts, caching, fallback across providers, and the production concerns that a tutorial integration ignores.
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long-form-contentSkillAI & models
Use when writing a researched article, blog post, or long-form piece. Covers building an argument, researching and citing, structure, and writing something with a point rather than a survey.
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manageSkillAI & models
Manage Codex agents, skills, or config entries: create, update, or remove with guardrails.
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market-breadthSkillAI & models
Use when assessing the internal health of a market advance or decline. Covers advance-decline lines, new highs versus new lows, percentage above moving averages, and divergence between the index and its constituents.
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market-regimeSkillAI & models
Use when characterizing the current market environment. Covers trend and volatility regimes, risk-on versus risk-off signals, macro context, and matching strategy to regime rather than fighting it.
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microservicesSkillAI & models
Use when decomposing a system into services, or deciding whether to. Covers service boundaries, inter-service communication, distributed data, saga patterns, and the operational cost of the network.
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network-troubleshootingSkillAI & models
Use when diagnosing network failures: connection refused, timeouts, TLS errors, DNS problems, and intermittent failures. Covers layer-by-layer isolation and the tools that answer each question.
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new-adrSkillAI & models
Create a new ADR under docs/adr/ with the next sequential number and update the index. Use whenever a technical decision is made (CLAUDE.md requires every decision to be recorded).
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options-strategySkillAI & models
Use when analyzing or constructing an options position. Covers the greeks in practical terms, implied volatility and its term structure, common structures and their true risk, and assignment and expiration mechanics.
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performance-testingSkillAI & models
Use when load testing a system. Covers workload modeling, ramp profiles, what to measure, finding the breaking point, and distinguishing a real bottleneck from a badly configured test.
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personality-and-emotion-synthesisSkillAI & models
A comprehensive skill for generating consistent personalities and expressing emotions through personality models and affective computing frameworks. Covers personality models, emotion generation, affective computing, mood induction, emotional intelligence, temperament analysis, and synthetic persona
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plugin-developmentSkillAI & models
Use when packaging skills, commands, hooks, and MCP servers into a distributable plugin. Covers manifest structure, bundling, versioning, testing, and distribution through a marketplace.
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portfolio-reviewSkillAI & models
Use when reviewing a portfolio's construction and exposure. Covers concentration, correlation, factor and sector exposure, hidden bets, and whether the portfolio expresses the intended view.
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position-sizingSkillAI & models
Use when deciding how large a position to take. Covers fixed-fractional risk, volatility-based sizing, the Kelly criterion and why to fractionalize it, and portfolio concentration limits.
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pythonSkillAI & models
Use when writing, reviewing, or modernizing Python 3.11+ code. Produces fully type-annotated modules, async I/O, dataclasses and protocols, pytest suites, and a lint/type gate built on ruff and mypy --strict.
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qa-reviewSkillAI & models
Use when reviewing a feature for release readiness. Covers acceptance-criteria verification, edge-case enumeration, regression risk assessment, and a release decision that is a judgment rather than a vibe.
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realtime-websocketsSkillAI & models
Use when building realtime features with WebSockets or Server-Sent Events. Covers protocol choice, connection lifecycle, reconnection and backfill, scaling across instances, and backpressure.
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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.
55,004 of the 55,435 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.