Documentation

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skills in category: 15,624
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Showing 10,129–10,152 of 15,624 skills

Agent Bridge KitAAgent Bridge Kit gives any OpenClaw agent unified access todocumentationbashawsVotes: 0GitHub stars: 16
VibeA**Status:** 📋 Agent Guideline | **Module:** vibe | **Part of:** Agent Brain Tone detection and response calibration guidelines. The agent reads tone from user messages and adjusts its style — no code runs, this is behavioral guidance.documentationrustbashVotes: 0GitHub stars: 16
Afrexai Release NotesAGenerate clear, professional release notes from git commits, PRs,documentationpythongitVotes: 0GitHub stars: 16
Afrexai Childcare ComplianceALicensing, safety, staffing, and operational compliance fordocumentationgogitVotes: 0GitHub stars: 16
Afrexai Api DocsAGenerate production-ready API documentation from endpointdocumentationjavascriptpythonVotes: 0GitHub stars: 16
Addis Assistant SttAProvides Speech-to-Text (STT) and text Translation using the Addis Assistant API (api.addisassistant.com). Use when the user needs to convert an audio file to text (specifically Amharic), or translate text between languages (e.g., Amharic to English). Requires 'x-api-key'.documentationpythonapiVotes: 0GitHub stars: 16
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AdaptivetestADesign and implement adaptive testing systems using Item Response Theory (IRT). Use when working with computerized adaptive tests (CAT), psychometric assessment, ability estimation, question calibration, test design, or IRT models (1PL/2PL/3PL). Covers test algorithms, stopping rules, item selection strategies, and practical implementation patterns for K-12, certification, placement, and diagnostic assessments.documentationpythongoVotes: 0GitHub stars: 16
Adaptivetest SkillAAdaptive testing engine with IRT/CAT, AI question generation, and personalized learning recommendationsdocumentationtestingapiVotes: 0GitHub stars: 16
Acorn ProverAVerify and write proofs using the Acorn theorem prover for mathematical and cryptographic formalization. Use when working with Acorn proof files (.ac), verifying theorems, formalizing mathematical or cryptographic protocols, or writing proofs in the Acorn language. Triggers on: (1) Creating or editing .ac files, (2) Running acorn verify commands, (3) Formalizing math or crypto proofs, (4) Questions about Acorn syntax or standard library.documentationbashci/cdVotes: 0GitHub stars: 16
Ace MusicAGenerate AI music using ACE-Step 1.5 via ACE Music's free API. Use when the user asks to create, generate, or compose music, songs, beats, instrumentals, or audio tracks. Supports lyrics, style prompts, covers, and repainting. Free API, no cost.documentationbashapiVotes: 0GitHub stars: 16
Abby BrowserA基于 OpenClaw 内置浏览器工具封装documentationgobashVotes: 0GitHub stars: 16
AadaACreate and send fun, personality-rich promotional messages from one agent to the Moltbook audience. Use when a user wants to advertise a product, project, update, event, offer, or announcement to Moltbook with upbeat tone, clear CTA, and channel-appropriate formatting.documentationgoapiVotes: 0GitHub stars: 16
Spatial TrajectoryATrajectory inference and pseudotime analysis for spatial transcriptomics using DPT, CellRank, or Palantir, with method-specific parameter hints and standardized trajectory outputs.documentationpythonbashVotes: 0GitHub stars: 32
Spatial CnvAInfer copy number variation programs from spatial transcriptomics data using inferCNVpy or Numbat, with method-aware matrix selection, reference controls, and spatially mappable CNV summaries.documentationpythongoVotes: 0GitHub stars: 32
Sc In Silico PerturbationAIn-silico perturbation analysis for scRNA-seq. Simulates the effect of knocking out a target gene and identifies differentially regulated genes.documentationpythonbashVotes: 0GitHub stars: 32
Sc Differential AbundanceASample-aware differential abundance and compositional analysis for scRNA-seq using Milo, scCODA, or an exploratory proportion-based fallback.documentationpythonbashVotes: 0GitHub stars: 32
Sc Cell AnnotationAAnnotate cell types from normalized scRNA-seq data using marker scoring, CellTypist, PopV-style reference mapping, lightweight KNNPredict-style mapping, SingleR, or scmap through shared Python/R backends.documentationpythonrustVotes: 0GitHub stars: 32
Sc Ambient RemovalARemove ambient RNA contamination from droplet-based single-cell RNA-seq using a simple subtraction path, CellBender, or SoupX. The wrapper exposes only the parameters that are actually wired into the current implementation.documentationpythongoVotes: 0GitHub stars: 32
Technical WritingA--> --- name: technical-writing-expert description: Create comprehensive, clear, and structured technical documentation, reports, and whitepapers. keywords: - documentation - reporting - markdown - latex - clarity - structure measurable_outcome: Produce a 2000-word technical report with <1% grammatical errors and >90% clarity score (Flesch-Kincaid) within 1 hour. license: MIT metadata: author: AI Agentic Skills Team version: "2.0.0" compatibility: - system: any allowed-tools: - read_file - wr...documentationgobashVotes: 0GitHub stars: 32
Uniprot DatabaseA--> --- name: bio-uniprot-database description: Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---documentationpythongoVotes: 0GitHub stars: 32
SympyA--> --- name: bio-sympy description: Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the u...documentationpythongoVotes: 0GitHub stars: 32
Scvi ToolsA--> --- name: bio-scvi-tools description: Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-...documentationpythongoVotes: 0GitHub stars: 32
ScanpyA--> --- name: bio-scanpy description: Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allow...documentationpythonshellVotes: 0GitHub stars: 32
RdkitA--> --- name: bio-rdkit description: Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output w...documentationpythongoVotes: 0GitHub stars: 32