Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Assemble the per-PR changeset entries in docs/content/changelog/upcoming/ into a release's changeset-0-XX.md and generate the detailed CHANGELOG.md sections. Use at release time when the user wants to build or finalize the changelog or changeset for a Rerun release, or merge the upcoming/ entries. Invoked via /assemble-changelog or "assemble the changelog for 0.x.y".
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
Clean, split, and featurize multivariate time-series data before embedding it with the Omega model. Bundles three reusable building blocks: `DataPreprocessor` (diagnose timestamp regularity, gaps, and nulls; build continuous gap-aware temporal blocks with imputation), `DataSplitter` (out-of-time or random train/test split that respects temporal order), and `FeaturePreparer` (pivot per-sensor embeddings into a "joint state" (X, y, metadata) matrix with optional L2 / standardization / PCA). Use this skill when the user is preparing raw sensor CSVs for the Omega model (`atai-newton-omega-model`), when training data has gaps and they're unsure whether to drop / impute / split, or when an n-shot CSV looks noisy and they want a principled cleanup pipeline. Do NOT use this skill to run inference or produce embeddings (use `atai-newton-omega-model`). Do NOT use for video / image / text data (use `atai-newton-fusion-model`) — time-series only.
Use when working with @atscript/db, @atscript/db-{sqlite,postgres,mysql,mongo,memory}, @atscript/db-sql-tools, @atscript/moost-db, @atscript/db-client, or .as models with @db.* annotations. Covers DbSpace, adapter wiring, table/view CRUD, query filters, patch/field/array ops, relations, views, schema sync, engine-specific capabilities, BaseDbAdapter subclassing, moost-db REST routes, declarative actions, @InputForm structured input, URL query syntax, browser Client, client.action(), client.getActionForm(), DB validation, optimistic concurrency control via @db.column.version + $cas + withOptimisticRetry, field-level encryption at rest (@db.encrypted, key rotation, ENC_* errors), geo search (db.geoPoint, @db.index.geo, geoSearch, $geoWithin, GET /geo), token controller binding (provideDbSpace, @db.space), model manifest (atscriptModels), planSchema, assertExposed, provideTestDbSpace. Scope is DB only. Out of scope (use the moostjs/atscript skill): .as syntax, @meta.*, @expect.*, asc, unplugin, VSCode.
Applies a Bayesian haircut to a bid valuation for common-value auctions where winning is itself evidence the bidder over-estimated. Takes a raw valuation, a value-type classification (common_value / private_value / mixed), the number of informed bidders N, and a signal-dispersion estimate, and returns an adjusted valuation. Domain-neutral and reusable across fantasy FAAB, prediction markets, M&A bids, ad-auction budgets, and any generic bidding context. Use when user mentions "winner's curse", "common value auction", "valuation haircut", "adverse valuation", "Bayesian bid adjustment", or "over-paying in auction".
Strategic audience guidance -- helps users build the right audience for their business goal or improve an existing segment. Use when the user needs help choosing the right audience strategy, wants advice on segment design, or needs to improve an existing segment.
Guides privacy audit sampling methodology including statistical and non-statistical sampling, sample size determination, stratification techniques, attribute sampling for compliance testing, confidence level selection, tolerable deviation rates, and extrapolation of results to the population. Keywords: audit sampling, statistical sampling, attribute testing, sample size, confidence level, stratified sampling, privacy audit.
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
Use when presenting or auditing expertise, credentials, certifications, advisory boards, expert quotes, trust badges, medical claims, legal claims, financial claims, institutional logos, titles, uniforms, or authority signals that could create undue deference.
Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via plugin-dev:skill-development + unslop, optionally pulling fresh evidence from recent transcripts.
AWP (Agent Work Protocol) — the complete toolkit for agent mining on Base, Ethereum, Arbitrum, and BSC. Use this skill when the user explicitly mentions AWP, worknets, veAWP, awp-wallet, or AWP-specific operations. Handles: onboarding (wallet setup, registration, worknet joining), staking (deposit, withdraw, gasless relay via ERC-2612 permit), allocation (allocate/deallocate stake to agents on worknets), worknet management (register, pause, resume, cancel), agent binding (link agent wallet to owner), governance (proposals, voting), and querying (balances, positions, emissions, epochs, announcements). Trigger keywords: AWP, veAWP, awp-wallet, worknet, AWPRegistry, AWPAllocator, AWPWorkNet, agent staking (in AWP context), "allocate AWP", "bind my agent", "claim AWP rewards", "AWP emission", "AWP epoch". NOT for: Uniswap, Aave, Lido, Compound, generic Solidity/Hardhat, token swaps, bridging, or non-AWP DeFi protocols. Do NOT trigger on generic phrases like "start working" or "start earning" unless AWP is explicitly mentioned in context.
Deploy OpenSearch search applications to Amazon OpenSearch Service or Amazon OpenSearch Serverless. Use this skill when the user wants to provision an OpenSearch domain or serverless collection on AWS, deploy search configurations to AWS, set up Bedrock connectors, configure IAM roles for OpenSearch, migrate a local search setup to AWS, or manage Amazon OpenSearch infrastructure. Activate even if the user says AOS, AOSS, OpenSearch Service, serverless collection, Bedrock connector, SigV4, or AWS deployment without mentioning search.
Manage Backblaze B2 cloud storage. List files, audit usage, estimate cost, clean up stale data, review security posture, and manage lifecycle rules. Use when the user mentions B2, Backblaze, object storage buckets, or storage cleanup.
Production backend systems development. Stack: Node.js/TypeScript, Python, Go, Rust | NestJS, FastAPI, Django, Express | PostgreSQL, MongoDB, Redis. Capabilities: REST/GraphQL/gRPC APIs, OAuth 2.1/JWT auth, OWASP security, microservices, caching, load balancing, Docker/K8s deployment. Actions: design, build, implement, secure, optimize, deploy, test APIs and services. Keywords: API design, REST, GraphQL, gRPC, authentication, OAuth, JWT, RBAC, database, PostgreSQL, MongoDB, Redis, caching, microservices, Docker, Kubernetes, CI/CD, OWASP, security, performance, scalability, NestJS, FastAPI, Express, middleware, rate limiting. Use when: designing APIs, implementing auth/authz, optimizing queries, building microservices, securing endpoints, deploying containers, setting up CI/CD.
Higgsfield image prompt director for Banana Pro, Soul Cinema, and GPT-2. Modes: (0) face lock for new characters — Banana Pro single-pass (default), GPT-2 single-pass (higher fidelity, higher credits), or Soul Cinema two-pass, all on mid-gray seamless (locked default; white on request) with black camisole/tank baseline, (1) single-image character outfit — Banana Pro or Soul Cinema two-step, (2) 6-panel character sheet, (3) cinematic scene plates with or without characters, (4) GPT-2 detail face/chest-up, (5) outfit replacement — swap a face onto an outfit using two refs. Reads references for hair, makeup, wardrobe, jewelry, identity. Outputs photorealistic prompts with one clean cinema stack — pores, subsurface scattering, strand hair, fabric weave, atmospheric perspective, anamorphic character, theatrical grain. Use for new character builds, character/outfit refs, character sheets, scene plates, environment plates, detail shots, outfit replacement, or any photorealistic still.
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
Steps to promote a baserCMS "regular plugin (third-party / standalone distribution)" to a monorepo "core plugin". Refer to this for "change to a core plugin", "make it a core plugin", "promote a regular plugin to core", "bring it into the monorepo", etc. Covers the plugin naming convention change (adding the bc- prefix, CamelCase → hyphen-separated), removal of .git / symlinks / the standalone test infrastructure, registration in the root phpunit.xml.dist, tests/bootstrap.php, composer.json, .gitignore, additions to baser-core setting.php's corePlugins/defaultInstallCorePlugins, phpdoc.dist.xml, split_monorepo.yml, dependency aggregation via monorepo-builder merge, verification by running the full test suite, and checking the read-only repository for monorepo split. For plugin version deprecation handling (5.2→5.3), see the basercms-plugin-5x-update skill; for test execution steps, see the basercms-unittest skill.
Use at the start of any bug bounty hunting session, when switching targets, or when feeling lost about what to do next. Master orchestrator combining the 5-phase non-linear hunting workflow with the critical thinking framework (developer psychology, anomaly detection, What-If experiments). Routes to all other skills based on the current hunting phase. Also use when asking “what should I do next” or “where am I in the process.”
Render Mermaid diagrams as readable ASCII/Unicode art in the terminal (from .mmd/.mermaid files, stdin, or Markdown ```mermaid fences). Use when installing or using lukilabs/beautiful-mermaid, creating a CLI renderer for Mermaid-to-ASCII output, previewing Mermaid diagrams in terminal, or extracting/rendering Mermaid blocks from Markdown files.
Bilibili search bulk download tool. Enter a keyword to search videos across Bilibili, with sorting by play count, likes or time; after searching, automatically fetch all HD download links in bulk. Use when users need to find Bilibili videos, search Bilibili content, download Bilibili videos or collect Bilibili material. Trigger words: B站搜索, bilibili搜索, B站下载, B站视频下载, b站搜视频, B站找素材, 下载B站, bilibili下载.
Design and audit billing reconciliation across invoices, payments, ledgers, entitlements, app-store receipts, subscriptions, IAP, payouts, refunds, chargebacks, taxes, credits, adjustments, revenue recognition inputs, and support evidence. Use when money movement, customer access, or marketplace balances must match across systems.
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.
Coach a client or team through defining a brand's visual identity from scratch — what it should make people feel, the muses it steals from, the distinct creative concepts, and the latitude it's allowed to flex within. Use before any creative direction, logo, or application work, or when the user mentions 'brand strategy,' 'what should our brand feel like,' 'brand workshop,' 'creative concepts,' 'brand personality,' 'find our visual direction,' or a brand that's undefined or being rethought. This is strategy, not execution.
Use this skill when you need to control a Chrome browser via CDP (Chrome DevTools Protocol) to reuse existing login sessions. Covers: launching Chrome in debug mode, opening URLs, waiting for page load, evaluating JavaScript, taking snapshots, and extracting auth tokens. Trigger phrases: browser automation, CDP, agent-browser, 浏览器操作, 操作浏览器, Chrome CDP, 复用登录态, extract token from browser.
Use the Browser Use cloud API to spin up cloud browsers for Clawdbot and run autonomous browser tasks. Primarily, create browser sessions with profiles (persisted logins/cookies) that Clawdbot can control. Secondarily, run task subagents for fast autonomous browser automation. Docs at docs.browser-use.com and docs.cloud.browser-use.com.
Browserless cloud browser automation service. Run headless Chrome at scale for scraping, screenshots, and PDF generation. Use for cloud browser automation, scalable scraping, or headless Chrome as a service. Triggers on browserless, headless chrome, browser service, cloud scraping, screenshot api, pdf generation, chrome as a service.
Augur — a local-first investment research memory system: 18 investor personas analyze independently and form a weighted consensus. Evidence is time-aware, and every run is reviewable. CLI / Dashboard / MCP. A local-first research memory system with 18 investor personas.
Set up and run Bugpatrol, a QA team of AI agents that explores a web, Electron, iOS, or Android app, finds and fixes bugs, and opens GitHub PRs and issues. Use when the user wants to add Bugpatrol to a repo, write or fix .bugpatrol/bugpatrol.yml, run an explore, judge, fix, or patrol cycle, or review bugs found by Bugpatrol.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.