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Documentation
Docs, README files, API references, tutorials, specs, and changelogs
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Showing 6,673–6,696 of 16,089 skills
- Sred Project OrganizerTake a list of projects and their related documentation, and organize them into the SRED format for submission.Votes: 0GitHub stars: 11
- Anthropic Doc CoauthoringGuide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.Votes: 0GitHub stars: 11
- Blog Writing GuideWrite, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, create an engineering deep-dive, or produce any written content destined for the Sentry blog or developer audience. Also trigger when the user mentions "blog post," "blog draft," "write-up," "announceme...Votes: 0GitHub stars: 11
- Pm Iterate Refinement NotesRefinement notes capture the outcomes of backlog refinement (grooming) sessions—what was discussed, what was estimated, and what decisions were made. They serve as a quick reference for team members who missed the session and a historical record of how stories evolved from idea to ready-for-sprint.Votes: 0GitHub stars: 11
- Pm Iterate Lessons LogA lessons log entry captures significant learning from projects, incidents, or experiences in a format that's useful to future teams who weren't there. Unlike retrospectives (which focus on team improvement), lessons logs focus on organizational knowledge that transcends individual teams—patterns, anti-patterns, and hard-won wisdom.Votes: 0GitHub stars: 11
- Pm Develop Solution BriefA solution brief is a concise, one-page document that communicates the proposed solution to a problem. It serves as the bridge between problem understanding and detailed specification, providing enough context for stakeholders to align on the approach without getting lost in implementation details. The one-page constraint forces clarity and prioritization.Votes: 0GitHub stars: 11
- Pm Deliver User StoriesUser stories are concise descriptions of functionality from the user's perspective. They capture who needs something, what they need, and why — without prescribing how to build it. Good user stories enable teams to break large features into estimable, deliverable increments while maintaining focus on user value.Votes: 0GitHub stars: 11
- Pm Deliver Release NotesRelease notes communicate product changes to users in a way that highlights value and builds excitement. Unlike changelogs (which document what changed technically), release notes translate changes into user benefits. Good release notes help users discover new capabilities, understand improvements, and trust that issues are being addressed.Votes: 0GitHub stars: 11
- Pm Deliver PrdA Product Requirements Document is the primary specification artifact that communicates what to build and why. It bridges the gap between problem understanding and engineering implementation by providing clear requirements, success criteria, and scope boundaries. A good PRD enables engineering to build the right thing while maintaining flexibility on implementation details.Votes: 0GitHub stars: 11
- Iterate Refinement NotesRefinement notes capture the outcomes of backlog refinement (grooming) sessions—what was discussed, what was estimated, and what decisions were made. They serve as a quick reference for team members who missed the session and a historical record of how stories evolved from idea to ready-for-sprint.Votes: 0GitHub stars: 11
- Iterate Lessons LogA lessons log entry captures significant learning from projects, incidents, or experiences in a format that's useful to future teams who weren't there. Unlike retrospectives (which focus on team improvement), lessons logs focus on organizational knowledge that transcends individual teams—patterns, anti-patterns, and hard-won wisdom.Votes: 0GitHub stars: 11
- Develop Solution BriefA solution brief is a concise, one-page document that communicates the proposed solution to a problem. It serves as the bridge between problem understanding and detailed specification, providing enough context for stakeholders to align on the approach without getting lost in implementation details. The one-page constraint forces clarity and prioritization.Votes: 0GitHub stars: 11
- Deliver User StoriesUser stories are concise descriptions of functionality from the user's perspective. They capture who needs something, what they need, and why — without prescribing how to build it. Good user stories enable teams to break large features into estimable, deliverable increments while maintaining focus on user value.Votes: 0GitHub stars: 11
- Deliver Release NotesRelease notes communicate product changes to users in a way that highlights value and builds excitement. Unlike changelogs (which document what changed technically), release notes translate changes into user benefits. Good release notes help users discover new capabilities, understand improvements, and trust that issues are being addressed.Votes: 0GitHub stars: 11
- Deliver PrdA Product Requirements Document is the primary specification artifact that communicates what to build and why. It bridges the gap between problem understanding and engineering implementation by providing clear requirements, success criteria, and scope boundaries. A good PRD enables engineering to build the right thing while maintaining flexibility on implementation details.Votes: 0GitHub stars: 11
- UnslothExpert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimizationVotes: 0GitHub stars: 11
- Uniprot DatabaseDirect 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.Votes: 0GitHub stars: 11
- SympyUse 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 user needs exact symbolic results rath...Votes: 0GitHub stars: 11
- Stable DiffusionState-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.Votes: 0GitHub stars: 11
- Scvi ToolsDeep 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.Votes: 0GitHub stars: 11
- ScanpyStandard 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.Votes: 0GitHub stars: 11
- SaelensProvides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.Votes: 0GitHub stars: 11
- RowanCloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated co...Votes: 0GitHub stars: 11
- RdkitCheminformatics 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.Votes: 0GitHub stars: 11