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
9,028 results · page 300 of 301
- View details
clawchat-liveware-sampleSkillAI & models
Use when the owner talks about the auto-installed "Liveware Sample" (page title "Hello from your agent") — the guide to their first Liveware. The page sends the owner to chat with these exact sentences, so route on them verbatim — "把 Liveware Sample 换成购物清单" / "把 Liveware Sample 换成纪念日倒计时" / "把 Livewa
Ready to connect
- View details
data-model-radarSkillAI & models
Audits SwiftData/Core Data model layer for field completeness, serialization gaps, relationship integrity, semantic ambiguity, dead fields, and migration safety. Finds model-layer bugs that manifest as workflow bugs. Triggers: "audit models", "model radar", "/data-model-radar".
Ready to connect
- View details
disease-researchSkillAI & models
Use ENCODE functional genomics data for disease mechanism research. Use when the user wants to connect GWAS variants to regulatory elements, annotate disease-associated loci with functional data, identify therapeutic targets from epigenomic data, build disease regulatory models, cross-reference with
Ready to connect
- View details
excessive-agencySkillAI & models
Detects autonomous agents that take irreversible or high-impact actions
Ready to connect
- View details
llm-supply-chainSkillAI & models
Detects compromised or backdoored models loaded from unverified sources,
Ready to connect
- View details
majority-minority-changeSkillAI & models
This skill should be used when users need to analyze county-level racial composition change between two Census snapshots and identify where places crossed a majority-minority threshold.
Ready to connect
- View details
model-card-generationSkillAI & models
Model card generation expertise — auto-generates Model Cards covering intended use, limitations, and training data provenance per the HuggingFace and Mitchell et al. standard
Ready to connect
- View details
model-dosSkillAI & models
Detects LLM endpoints missing token caps, rate limits, or prompt-length
Ready to connect
- View details
opentiny-next-app-integrationSkillAI & models
Use when an existing Vue 3 + Vite app needs OpenTiny TinyRobot Chat, GenUI, business WebMCP, business Skill, or PageTool integration and the installed APIs, ownership boundaries, or validation scope must be established from the project.
Ready to connect
- View details
overrelianceSkillAI & models
Detects systems that treat LLM output as authoritative fact in consequential
Ready to connect
- View details
plan-reviewSkillAI & models
Adversarially review a plan, work order, spec, or agent brief before anything gets built. Use when the user wants a plan reviewed, stress-tested, audited, or countersigned, says "plan review" or "poke holes in this plan", or wants a pre-build check on an issue/brief/PRD.
Ready to connect
- View details
prompt-optimization-loopSkillAI & models
Prompt-engineering expertise for designing test cases, edge cases, adversarial inputs, and iterating on prompts based on eval results
Ready to connect
- View details
rseng-community-governanceSkillAI & models
Covers building and governing a community around research software: CONTRIBUTING guides, codes of conduct, governance models and decision-making, contributor recognition policy, issue and discussion hygiene, and handing over or sharing maintainership. Use when a project wants external contributors,
Ready to connect
- View details
rseng-contributor-onboardingSkillAI & models
Covers turning users into contributors and contributors into regulars: curating genuinely good first issues, onboarding paths and checklists generated from the repository, first-PR shepherding, mentorship and buddy structures, and measuring where the contribution funnel leaks. Use when a project wan
Ready to connect
- View details
rseng-debuggingSkillAI & models
Covers systematic debugging of research software: hypothesis-driven diagnosis instead of guess-and-change, building minimal reproducers, bisecting across commits, data and parameters, debugging scientific failure modes (wrong numbers rather than crashes, nondeterminism, scale-dependent bugs), debugg
Ready to connect
- View details
rseng-defensive-codingSkillAI & models
Covers defenses against silently wrong research results: validating data at boundaries (schemas, assertions, sanity checks), explicit physical units and quantities in code (pint/astropy-style), disciplined randomness (explicit seeded generators, parallel streams), and fail-loud handling of NaN and m
Ready to connect
- View details
rseng-discoverySkillAI & models
Covers discovering the research landscape around a topic or project: finding relevant publications (OpenAlex, arXiv, Zenodo, JOSS, Semantic Scholar, Google Scholar) and finding related software - libraries, packages, tools, platforms and competitor or alternative projects - across software registrie
Ready to connect
- View details
rseng-fact-checkingSkillAI & models
Covers verifying facts and sources at the content level: checking that a cited source actually contains and supports the claim it is cited for (claim-source alignment), assessing source trustworthiness (peer-review status, venue reputation, predatory-publishing signals, primary vs secondary), and fl
Ready to connect
- View details
rseng-fair-softwareSkillAI & models
Covers how to apply the FAIR principles - findable, accessible, interoperable, reusable - to research software, and how to assess a project's FAIRness. Use when the user asks how to make software FAIR, wants help with findability, discoverability, or software reuse, mentions metadata, persistent ide
Ready to connect
- View details
rseng-fairguardSkillAI & models
Covers assessing research software against the 17 FAIR4RS principles with FAIRGuard (https://www.fairguard.org): compliance scores and levels (bronze to platinum), assessment profiles, quality gates for CI, .fairguard.yml configuration, per-indicator skips, and acting on findings. Use PROACTIVELY on
Ready to connect
- View details
rseng-gpu-computingSkillAI & models
Covers GPU and accelerator programming for research software: choosing a programming model (CUDA, HIP, SYCL, OpenACC, OpenMP offloading), GPU libraries, language bindings such as CuPy, PyCUDA and CUDA.jl, portability layers like Kokkos and Raja, source-to-source translation, kernel profiling and aut
Ready to connect
- View details
rseng-honestySkillAI & models
Covers responding when concealment or misrepresentation is requested: hiding AI usage, making work appear different from reality, backdating or disguising provenance, inflating results or removing traces of how something was made. The skill calls for honesty with concrete reasons and offers honest a
Ready to connect
- View details
rseng-hpc-computingSkillAI & models
Covers working effectively on high-performance computing clusters: writing and debugging SLURM job scripts, choosing and requesting resources honestly, running containers with Apptainer, using module systems and EESSI software stacks, MPI basics, checkpointing, and scaling from laptop to cluster rep
Ready to connect
- View details
rseng-human-verificationSkillAI & models
Covers the human's side of AI-assisted research software: strongly urging the user to review generated code and verify results before relying on them, teaching how to review AI-written code effectively (where to look first, what to run, what to spot-check against known answers), and recording review
Ready to connect
- View details
rseng-license-complianceSkillAI & models
Covers license compliance engineering: auditing the full dependency tree's licenses, compatibility analysis (permissive vs weak vs strong copyleft, GPL interactions, combining and linking), dual and multi-licensing, SPDX expressions and REUSE-compliant repositories, attribution and NOTICE obligation
Ready to connect
- View details
rseng-management-planningSkillAI & models
Covers planning research software work: writing and maintaining a Software Management Plan (SMP), and choosing programming languages, tools, and infrastructures for a project. Use when the user wants to write or review an SMP, plan how software will be developed, maintained, shared, and preserved, n
Ready to connect
- View details
rseng-notebooksSkillAI & models
Covers engineering discipline for computational notebooks: execution-order and hidden-state pitfalls, restart-and-run-all hygiene, keeping notebooks in version control with jupytext, testing notebooks with nbval-style execution checks, parameterizing and batch-running them with papermill, refactorin
Ready to connect
- View details
rseng-numerical-accuracySkillAI & models
Covers floating-point correctness in research code: why 0.1 + 0.2 != 0.3, choosing absolute vs relative tolerances in tests, accumulation error and safe summation, precision choices (float32 vs float64), catastrophic cancellation, NaN and infinity handling, and cross-platform or cross-library result
Ready to connect
- View details
rseng-open-science-practicesSkillAI & models
Covers the researcher-facing open science workflow: setting up OSF projects that link materials, data, code and registrations, preregistering studies and analysis plans, depositing preprints and linking them to published versions, participating in open peer review, and choosing openness levels hones
Ready to connect
- View details
rseng-open-source-migrationSkillAI & models
Covers migrating research code from commercial, license-bound platforms to open source alternatives: MATLAB to Octave or Python/NumPy, IDL to Python, SAS/SPSS/Stata to R or pandas, Mathematica to SymPy/Julia, and the platform-specific pitfalls (indexing, copy semantics, toolbox equivalents, numerica
Ready to connect
Popular skills lists
- Best Claude skills for what are
- Best Claude skills for awesome
- Best Claude skills for github
- Best Claude skills for how to use
- Best Claude skills for anthropic
- Best Claude skills for grill me
- Best Claude skills for how to create
- Best Claude skills for caveman
- Best Claude skills for humanizer
- Best Claude skills for remotion
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.
55,483 of the 55,914 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.