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Found 9,524 Skills
Audit, prune, and improve agent guidance markdown files in repositories. Use when the user asks to check, audit, update, improve, or fix AGENTS.md, CLAUDE.md, or related guidance files. Adds missing commands and gotchas, removes stale entries, deduplicates, and keeps the file small and relevant. Scan for guidance files, evaluate quality against templates, output a quality report, then make targeted updates.
Read a local source file or synthesize conversation context, then integrate admitted content directly into topic, entity, concept, and analysis pages in existing memory (the wiki substrate). Use this when the user wants to add a source to the wiki, add a document, ingest a local note, transcript, article, report, or PDF, or explicitly preserve the current conversation as a topic note. For session-learning routing across wiki, guidance, checkpoint, task annotation, or discard, use /loam::learning-from-session. Must not ingest a goal wholesale; admit only independently reusable findings.
Correct or update existing wiki content when newer evidence shows the wiki is wrong, stale, incomplete, or contradicted. Use this when the agent discovers the wiki says X but we now know Y, when code or real-world changes invalidate a wiki claim, or when the user asks to fix or amend the wiki. Not for adding new sources, routine learnings capture, structural normalization, or health checks; use /loam::adding-to-memory, /loam::learning-from-session, /loam::normalizing-memory, or /loam::linting-memory.
The review, as JSON — runs the review skill and emits the result as a single structured JSON object. Used by CI; use the `review` skill directly for human-facing reviews.
Use when streaming durable workflow updates to a UI in real time — live order status pages that animate as steps complete, AI agent token streaming from a function to the browser, log tailing for long-running jobs, or human-in-the-loop approval flows that publish a prompt and wait for a user reply. Covers Inngest v4 native realtime: defining typed channels, publishing from inside step.run, minting subscription tokens via server actions, and consuming the stream from React/Next.js client components.
Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user mentions $binary, binaryPropertyName, "read the PDF", "attach the file", "send the image", Merge losing binary, or a CDN for chat images. Covers the $binary vs $json split, reading/writing binary, keeping binary alive across transforms with Merge, the agent-tool binary boundary, and the CDN/URL requirement for chat surfaces.
Design, implement, backfill, audit, and release in-game changelogs with contiguous versioning, deployment provenance, menu-state navigation, accessible toggle, close, and Escape behavior, and responsive release-ledger UI. Use when Codex needs to add or revise a changelog or version screen in a game, reconstruct release history from deployments and Git, define version-bump rules, keep displayed versions synchronized with live builds, or test changelog mechanics across desktop and mobile.
Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_prep_search, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → prep_search → index → query).
Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables
End-to-end recipe for integrating Sumsub ID Connect — the OIDC-based "Verify with Sumsub ID" flow that lets a user share previously-verified identity claims with your app. TRIGGER when the user asks to "integrate Sumsub ID Connect", "add Verify-with-Sumsub-ID button", "reuse Sumsub KYC via OIDC", "exchange the Sumsub authorization code", "mint a Sumsub ID share token", or asks how to wire up `@sumsub/id-connect`, the OIDC `code → access_token` exchange (`/api/snsId/oauth/token`), the share-token / partner-consent flow, or the share-link redirect. Covers preconditions checklist, automated preflight, frontend button (library button + raw redirect alternative), backend code-for-token exchange, share-token minting, partner-consent shareLink flow, and applicant materialisation through `/resources/api/reusableIdentity/reuse`. SKIP for the standalone WebSDK / KYC widget (use `sumsub-integrate-websdk`), or for plain Reusable-KYC-via-API where the donor and recipient are both your own tenants without a user-mediated OIDC step.
Submit a transaction to Sumsub Transaction Monitoring (KYT) via the ApplicantResource API. TRIGGER when the user asks to "submit / create / send / record a transaction", "test a KYT rule with a transaction", post a fiat or crypto payment for monitoring, attach Travel Rule data to a transfer, log a user-platform event (signup / login / password-reset / 2FA-reset) for monitoring, or submit a transaction for an applicant that does not exist yet (the request creates them). SKIP for editing arbitrary fields on an existing transaction, for bulk import (`/kyt/misc/txns/import`), for fetching / approving / rejecting transactions, for KYT rule management, or for Travel Rule data-exchange flows that are not transaction creation.
End-to-end recipe for adding Sumsub KYC to a website or web app via the Sumsub WebSDK. TRIGGER when the user asks to "integrate / embed / add Sumsub", "show the KYC widget", "add WebSDK", "verify users with Sumsub on the frontend", supplies an existing levelName they want to plug into a page, or asks how to wire up access tokens / lifecycle events / webhooks for Sumsub verification in an arbitrary project. Covers the whole loop — level setup, server-side access-token signing, snsWebSdk init (vanilla canonical, React recipe), client lifecycle events, token refresh, source-of-truth via webhooks + applicant GET, sandbox testing, go-live checklist. SKIP for building the level/questionnaire/POA-preset payload itself (use the sibling skills), or for backend-only API calls with no frontend (use `sumsub-api-generic`).