12,194 skills found · Page 58 of 407
nanocoai / onecli-gatewayOneCLI Gateway: transparent HTTPS proxy that injects stored credentials into outbound calls. You MUST use this skill when the user asks you to read emails, check calendar, access GitHub repos, create issues, check Stripe payments, or interact with ANY external service or API.
nanocoai / add-webexAdd Webex channel integration via Chat SDK.
nanocoai / debugDebug container agent issues
nanocoai / self-customizeCustomize your own agent — add capabilities, install packages, add MCP servers, edit code or CLAUDE.md
nanocoai / welcomeIntroduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.
nanocoai / convert-documents-to-markdownConvert an attached Word document, presentation, spreadsheet, OpenDocument file, RTF, EPUB, CSV, or text-based PDF into local Markdown
nanocoai / customizeAdd new capabilities or modify NanoClaw behavior
nanocoai / manage-mountsConfigure which host directories agent containers can access. View, add, or remove mount allowlist entries. Triggers on "mounts", "mount allowlist", "agent access to directories", "container mounts".
nanocoai / add-onecliInstall or refresh OneCLI as NanoClaw's gateway provider
nanocoai / vercel-cliDeploy apps to Vercel
nanocoai / iron-proxy-gatewayUse Iron Proxy for external accounts and APIs, including GitHub through gh. Connect credentials through the operator console and diagnose blocked requests without exposing tokens or adding unnecessary MCP servers.
topoteretes / cogneeUse this skill whenever the user asks about Cognee, AI memory, persistent agent memory, self-improving agents, agents learning from feedback, knowledge graphs, graph-based RAG, long-term memory for agents, short-term memory for agents, personalization, personas, temporal search, temporal knowledge g…
topoteretes / cognee-custom-pipelinesUse when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipeline or the lightweight run_pipeline (from cognee.pipelines import run_pipeline), storing custom DataPoints with add_data_points, running custom enrichment over the existing graph,…
topoteretes / cognee-cliUse when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and config, or database migrations.
topoteretes / cognee-forgetUse when removing data from cognee memory with forget() in the SDK, HTTP API, or CLI — finding which dataset and document hold the content to delete (listing datasets and data items, reading raw content), choosing between deleting one document, a whole dataset, or only the graph/vector memory, and d…
topoteretes / cognee-improve-sessionsUse when working with cognee's session memory or improve() — storing conversation turns, agent traces and feedback with session_id, bridging sessions into the permanent graph, reading an ImproveResult, understanding why an improve stage was skipped or already_completed, or tuning the IMPROVE_* setti…
topoteretes / cognee-ingestionUse when putting data into cognee memory with remember() — choosing inputs (text, files, folders, URLs, repos, databases), datasets and node_sets, loaders, ontologies, the graph extractor (LLM or GLiNER), chunking, dry-run cost estimates, or when remember() raises on a keyword argument.
topoteretes / cognee-migrationsUse when dealing with cognee database migrations — understanding when they run automatically, checking or repairing migration state with cognee-cli upgrade/downgrade/stamp/current, a write blocked by a failed migration, authoring a new Alembic (relational schema) revision or a graph/vector data migr…
topoteretes / cognee-custom-graph-modelsUse when defining the shape of cognee's knowledge graph with graph_model= — writing DataPoint node classes, choosing identity and index fields so nodes merge and are searchable, declaring typed Edge fields and FromIdentity references, building a model from a JSON schema, or debugging duplicated node…
topoteretes / cognee-dockerUse when the user wants to run cognee with Docker or docker compose — trying it out from the prebuilt image, starting the API server in a container, or bringing up the full stack (UI, MCP, Postgres, Neo4j) with compose profiles.
topoteretes / cognee-communityUse when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, NetworkX, …), data-source connectors (Slack, Gmail, Notion, Confluence, Google Drive), custom tasks/pipelines/retrievers (Exa, Scrape…
topoteretes / cognee-installUse when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, or a minimal working example.
topoteretes / cognee-integrationsUse when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing databases (Postgres, PGVector, Neo4j, Neptune, Turso), S3 storage, or the MCP server for IDE integration.
alirezarezvani / hivemindUse when delegating grunt work to free opencode workers instead of spending Claude tokens: one worker or a scout, coder and tester swarm in worktrees. Triggers on 'spawn a worker', 'swarm', 'delegate to opencode' or /oc.
alirezarezvani / loop-libraryDiscover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs
alirezarezvani / boost-asio-proUse for any C++ networking code with Boost.Asio or standalone Asio (TCP/UDP, SSL, timers, strands, io_context, co_spawn, awaitable, completion handlers), before writing or reviewing it. Applies lifetime, strand and cancellation rules that avoid the classic async bugs.
alirezarezvani / swedish-mentorUse when someone learning Swedish wants a learning path or YouTube clips and podcasts matched to their CEFR level and skill (SFI, Lätt Svenska, Radio Sweden på lätt svenska).
alirezarezvani / deepreadUse when the user asks to deeply read a book, article, PDF, or document set; extract claims and evidence; build a knowledge map; or learn through Feynman explanation and recall. Covers quick, deep, map, Feynman, and whole-book reading modes.
alirezarezvani / minimalistUse when asked to avoid over-engineering, cut dependencies or write the least code. Applies a strict ladder before any new code: YAGNI, reuse, stdlib, native platform, existing deps.
alirezarezvani / strict-apiUse when the user says 'no hallucinations', 'verify APIs' or 'don't invent functions', or code depends on a library version you have not checked. Requires proof that every method, import and variable exists in the installed version before using it.
