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 98 of 301
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reaction-condition-recommendationSkillAI & models
Recommend ranked catalyst, reagent, and solvent labels for a fully specified reaction using the reviewed Parrot USPTO checkpoint. Not for unknown reactions or lab procedures.
Ready to connect★ 409
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reaction-forward-predictionSkillAI & models
Predict ranked products from reactants and reagents with ReactionT5v2-forward; use for outcome prediction or round-trip recovery. Product rank is not reaction feasibility.
Ready to connect★ 409
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reaction-yield-estimationSkillAI & models
Estimate yield for a fully specified reactant/reagent/product record with ReactionT5v2-yield. Use for in-domain screening, not route success; flag domain shift and uncalibrated uncertainty.
Ready to connect★ 409
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remote-compute-nvidiaSkillAI & models
Run GPU jobs on NVIDIA NIM microservices via host.compute.create('byoc:nvidia', ...). Covers both forms — self_hosted (an nvcr.io NIM container on a local GPU with --gpus all) and hosted (the fully-managed integrate.api.nvidia.com gateway, no local GPU) — sharing one submit→poll .result()→harvest fl
Ready to connect★ 409
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remote-compute-sshSkillAI & models
Submit→poll .result()→harvest workflow for the user's SSH/SLURM hosts. Load once you've decided to dispatch remote.
Ready to connect★ 409
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scgptSkillAI & models
Embed and annotate single-cell expression data with scGPT, a foundation model for single-cell biology. Use this skill when: (1) Producing cell embeddings from an AnnData for clustering/integration, (2) Zero-shot or fine-tuned cell-type annotation, (3) Gene-level representation for perturbation/GRN t
Ready to connect★ 409
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single-cell-rna-analysisSkillAI & models
Reproducible Scanpy workflow for human or mouse 10x scRNA-seq and snRNA-seq count matrices: single-sample descriptive QC, clustering and annotation, or comparative donor-aware pseudobulk DE and Milo DA; plus preflight validation, optional explicitly requested Harmony, checkpoints, resume, and a chec
Ready to connect★ 409
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solublempnnSkillAI & models
Inverse-fold a backbone with SolubleMPNN — ProteinMPNN retrained on a soluble-PDB subset (Dauparas et al. 2022) — for sequences biased toward cytosolic expression and reduced aggregation. Reach for this skill when designs from vanilla ProteinMPNN are aggregating or going to inclusion bodies, when re
Ready to connect★ 409
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overviewSkillAI & models
Validate and normalize project-plan.md and build-plan.md, then generate the durable project-overview.md used by agents. Use for /overview, plan cleanup, generating the first overview, or refreshing context after either plan changes.
Ready to connect★ 406
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fluent-readingSkillAI & models
Run an interactive reading comprehension session with a short target-language text followed by main-idea, detail, vocabulary-in-context, inference, and true/false questions. Triggered only when the learner types /fluent-reading. Presents the text, waits for the learner to read, then asks questions o
Ready to connect★ 405
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fluent-vocabSkillAI & models
Run an interactive vocabulary drill session with flashcard-style prompts, spaced repetition, and per-answer feedback. Triggered only when the learner types /fluent-vocab. Reads spaced-repetition / mistakes / mastery DBs to pick words, presents one word at a time, scores each answer, and calls fluent
Ready to connect★ 405
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convexSkillAI & models
Umbrella skill for all Convex development patterns. Routes to specific skills like convex-functions, convex-realtime, convex-agents, etc.
Ready to connect★ 404
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convex-agentsSkillAI & models
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
Ready to connect★ 404
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claude-printSkillAI & models
Run a non-interactive Claude Code print-mode call from Codex. Use when the user asks to \"claude print\", \"ask claude\", \"run claude\", \"consult claude\", or when a Codex Turbo skill needs Claude as an independent peer reviewer.
Ready to connect★ 402
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find-dead-codeSkillAI & models
Find dead code using parallel sub-agent analysis and optional CLI tools, treating code only referenced from tests as dead. Use when the user asks to \"find dead code\", \"find unused code\", \"find unused exports\", \"find unreferenced functions\", \"clean up dead code\", or \"what code is unused\".
Ready to connect★ 402
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review-agentic-setupSkillAI & models
Detect agentic coding infrastructure in a project: CLAUDE.md, AGENTS.md, installed skills, MCP servers, hooks, and cross-tool compatibility (Claude Code and Codex CLI). Returns structured findings about agentic readiness without applying changes. Use when the user asks to \"review agentic setup\", \
Ready to connect★ 402
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agentsop-agent-topology-selectionSkillAI & models
Cross-framework enhancement overlay for choosing a multi-agent topology BEFORE writing any agent. A binary-question rubric — is single-agent + tools enough? do agents need to know about each other? does the output need one voice? — maps the answer to single-agent / supervisor / swarm / sequential /
Ready to connect★ 398
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agentsop-code-execution-decisionSkillAI & models
Decision rubric for when an LM agent should write-and-run code (Program-of-Thought / code interpreter) versus reason in natural language: classify each step as deterministic- computable (emit + execute code, feed the result back) vs judgment (stay in prose). Use when designing or debugging an agent
Ready to connect★ 398
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agentsop-dspySkillAI & models
Operating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models. Activate when the user says any of: "use DSPy", "compile a prompt", "optimize prompts/programs", "MIPRO/MIPROv2", "BootstrapFewShot", "GEPA", "Signatures + Modules", "teleprompter", "a
Ready to connect★ 398
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agentsop-framework-selectionSkillAI & models
Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph, LlamaIndex, DSPy, CrewAI, vLLM, Aider, Dify) into one layered rubric. Core stance: frameworks are LAYERS, n
Ready to connect★ 398
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agentsop-http-tool-wrappingSkillAI & models
Decision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call. The load-bearing premise: the *tool surface* is an LM-friendly subset of the *API surface* — one tool per user intent, not one per endpoint. Activates when a coder agent must expose an external HTTP API to a m
Ready to connect★ 398
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agentsop-hybrid-retrievalSkillAI & models
Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval. Activate when a calling agent is building, reviewing, or debugging a retrieval pipeline whose corpus contains exact-match tokens — identifiers, error codes, SKUs, API/function names, proper no
Ready to connect★ 398
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agentsop-llm-tool-idempotencySkillAI & models
Decision protocol for making side-effectful agent tools idempotent — so when an LLM tool call is retried (timeout, framework resume, user re-run, model duplicate emit), the second call is a no-op instead of a double-send. The load-bearing premise: the LM cannot promise it'll call exactly once; the t
Ready to connect★ 398
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agentsop-map-reduce-fanoutSkillAI & models
Decision protocol for the map-reduce / dynamic fan-out pattern in LM pipelines — "given list L, run f(item) for each item in parallel, then combine". Activates when the coder agent is about to process N items with N LM calls (per-doc summarize, per-query retrieve, per-candidate rank, parallel tool f
Ready to connect★ 398
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agentsop-module-shape-selectionSkillAI & models
ENHANCE overlay on [[dspy]] — the upfront rubric for choosing a reasoning SHAPE (Predict / ChainOfThought / ReAct / ProgramOfThought) BEFORE you write a prompt or pick an optimizer. The local `dspy` skill lists the modules but never surfaces the *selection criterion*: reasoning shape is chosen by ta
Ready to connect★ 398
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agentsop-prompt-history-inspectSkillAI & models
Tool skill — the *first move* in any LM-debugging session: dump the actual rendered prompt the framework sent to the model, before changing anything else. Activate when an LM call produced an unexpected output (wrong answer, schema violation, refusal, truncation, cost spike, latency spike, infinite
Ready to connect★ 398
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agentsop-repo-state-gatingSkillAI & models
A 5-minute gate the coder runs at project kickoff (and again whenever the repo shape changes). Classifies the workspace into Greenfield / Brownfield-large / Mid-size-familiar / Library-SDK, then maps the state to an agent strategy (autonomy, context primitive, tool choice). Use BEFORE picking Cursor
Ready to connect★ 398
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agentsop-selfhost-decisionSkillAI & models
Project-kickoff rubric for the self-host vs managed-cloud decision — when is running your own inference engine / LLM platform worth the ops cost vs paying per-token for a managed API? Decide on two axes — VOLUME (a cost-crossover slider) and COMPLIANCE (a hard gate). Use at kickoff when choosing whe
Ready to connect★ 398
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agentsop-state-reducerSkillAI & models
Tool skill for declaring reducers on LangGraph state keys so parallel writes merge instead of crashing. Activates whenever a coder agent designs a StateGraph with parallel branches, fan-out via Send, multi-agent topologies, or whenever a run raises `InvalidUpdateError: At key '<k>': Can receive only
Ready to connect★ 398
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agentsop-streaming-outputSkillAI & models
Enhancement-overlay decision protocol for STREAMING the output of long-running LLM / agent runs from the *backend*, not just wiring a typing animation in the UI. Activates when a coder agent must stream final tokens to a chat client, surface intermediate agent steps (which tool, which node, partial
Ready to connect★ 398
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.