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Found 6,677 Skills
Use FIRST, before any other social media skill, to load or create the brand profile — the durable record of who a business is, who it serves, how it sounds, and what it will and won't say. Run this when the user says "set up my brand," "brand profile," "brand guidelines," "define our brand voice," "onboard," "get started," when work begins for a new business or client, or any time another social skill needs brand context that isn't already loaded. Works for ANY business: B2B SaaS, ecommerce, local and small business, agencies and their clients, personal brands and creators, and nonprofits. For writing actual posts, see the content skills; to derive a voice from an existing body of writing, use voice-builder; this skill only builds the shared context they all read.
Fix the visual diffs that have been reviewed and rejected on a Meticulous test run, following their review comments if given. Use when a user has reviewed the results of a test run and is handing off to an agent to implement the fixes.
Use when you (an agent in a sesh thread) need to handle assigned work tickets — find your tickets, read a ticket's prompt/instructions, or update its status (e.g. mark it done). Covers the `sesh ticket` find → read → report loop.
Deterministic issue-relationship graph over GitHub native sub-issues + dependencies — compute the ready set / parent-rollup candidates / close-kick targets as pure calculation (scripts, no LLM judgment), write real edges when creating spin-off issues, and mutually exclude terminal actions across parallel agents via claim-comment fencing. Called by issue-sweep (candidate injection), issue-review (edge writing + rollup), and the future agent:ready producer routine.
Federal award totals for a recipient name, with award counts and the agencies that paid. Called as POST /v1/gov/federal-spending, it takes recipient, limit and returns results, count. A procurement or diligence agent checking whether a counterparty depends on federal contracts needs the award record, and no model holds it. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.004, paid in USDC on Base over x402.
Integrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an existing app; replace or supplement OpenAI, Anthropic, Ollama, or other cloud AI APIs with a local backend; only use to convert user apps. Do not use when the user just wants the agent itself to generate images, transcribe, or speak locally in the current workspace, even to cut their own API bill.
Use this skill for Salesforce Data 360 architecture, implementation, troubleshooting, Connect API payloads, metadata discovery, query SQL, calculated insights, semantic layer, search, segmentation, activation, data actions, governance, data spaces, and agentic validation workflows.
Use this skill for Sprites — isolated, persistent cloud Linux environments from Fly.io with their own filesystem, URL, services, checkpoints, and network policy. Trigger it to create, list, exec into, or destroy sprites; to run builds, tests, or agents in a remote sandbox; to start long-running services and expose a preview URL; to snapshot and roll back state; to change outbound network rules; to call third-party APIs (GitHub, Slack, etc.) through the credential-injecting gateway; or whenever the user names Sprites, sprite-env, or sprites.dev. Works both from inside a sprite and from a machine outside one.
Build Celigo tool resources -- reusable building blocks that encapsulate lookups, imports, transforms, and branching behind input/output contracts. Callable from flows, APIs, AI agents, MCP servers, and other tools. Use when creating tools, adding steps, or configuring routing.
Configure Celigo imports -- the destination step that writes records to external systems. Use when creating imports, choosing the adaptor type, setting up field mappings, lookups, upsert logic, AI agent imports, or file-based imports.
Manage Celigo on-premise agents -- lightweight software you install on a host inside your own network that opens a secure OUTBOUND tunnel to integrator.io, letting the platform reach private systems (on-prem databases, file shares, internal apps) without opening inbound firewall ports. An on-premise agent is a connectivity resource on the `/agents` page -- not a stack (compute) and not an AI agent (LLM processing). Use when connecting to a system behind a firewall, installing or pairing an agent, rotating its access token, or diagnosing agent-offline flow failures.
Use when reviewing ML system design docs, ML/AI project repos, design-doc PRs, RAG/LLM/foundation-model architectures, agentic AI workflows, or production ML readiness. Applies the ML System Design framework by Kravchenko and Babushkin to grade designs, compare docs with code, find critical gaps and low-hanging fruit, and give specific non-cringy praise.