Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Implements the Ralph Wiggum autonomous iteration technique with deliberate context management. Use when building greenfield projects, iterating on well-defined tasks, or when continuous autonomous development is needed. Manages context like memory - tracks allocations, prevents redlining, and knows when to start fresh.
Executes council queries by running the query pipeline across selected AI providers (Gemini, OpenAI, Grok, Perplexity), displaying formatted responses verbatim, and generating a synthesis of consensus, divergence, and recommendations. Invoked by the ask command during standard (non-agent) council queries.
Runs a local council when no external AI providers are configured. Spawns N independent Claude subagents (one per role, blind to each other) that each answer the question from a single assigned lens, then synthesizes their perspectives. Invoked by the ask command via --local, or when the user accepts the local-council offer after no providers are found. This is a same-model (Claude-only) panel, not a cross-vendor council.
Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface. Covers creating provider shell scripts, setting API keys, and validating connectivity. Triggers on "add provider", "new AI agent", "provider not working", "API configuration", or "extend council".
End-to-end workflow for creating, building, installing, and hot-reloading AGNT plugins entirely from chat. Use this skill whenever the user asks to 'build a plugin', 'create an AGNT plugin', 'add a new tool to AGNT', 'integrate X with AGNT' (where X is an API or service), 'make a plugin for [service]', or wants to extend AGNT with custom workflow nodes, triggers, or integrations. Also trigger when the user mentions editing, updating, rebuilding, or reinstalling an existing plugin, or says things like 'turn this API into an AGNT tool', 'wrap this endpoint as a plugin', or 'add [service] to my AGNT workflows'. Covers scaffolding the dev folder, writing manifest.json + ES-module tool code, running build-plugin.js, installing via /api/plugins/install-file, and reloading via /api/plugins/reload — all from a single chat session with zero manual terminal work.
Delegate complex, autonomous, or tool-heavy tasks to a Hermes Agent sub-agent running in the AGNT sandbox. Hermes is Nous Research's self-improving Python agent (47 built-in tools, persistent memory, skills system, sub-agent delegation). Use this skill whenever the user asks Annie to "delegate to Hermes", "have Hermes do X", "run this through a sub-agent", "offload this task", "use a sub-agent for autonomous research", "let Hermes handle this", or any phrasing that hands a substantial, multi-step, or tool-heavy task off to an external agent. Also trigger when the user mentions Hermes Agent, Nous Research's agent, the AIAgent class, run_agent.py, or wants to spawn an autonomous sub-process to do research, multi-tool work, code analysis, code execution, or long-running browsing while keeping Annie's main context clean. Encodes the verified working invocation pattern (sandbox path, OpenRouter default, correct API signature, max_tokens cap, common error fixes) so delegation works on the first try.
Develop, debug, and extend a proxy agent that connects any external AI agent to Microsoft 365 Copilot and Teams via direct SDK integration. Use when: understanding the project, explaining the architecture, onboarding to the codebase, building or modifying a Teams proxy agent with M365 Agents SDK, wiring a new backend SDK into agent.ts, configuring SSO, updating Bicep infrastructure, troubleshooting bot messaging, streaming responses, or managing environment config. Stop if: backend has no Node/TS SDK or cannot be called from a Node process.
MCP dev-first mobile loop for reliable screenshot-observe-action execution, grounded interactions, and conversion of successful exploratory paths into tests.
Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`. **Skip if**: the task is a one-off workflow that will not be reused as a skill. **Network**: none. **Guardrail**: keep domain knowledge and writing exemplars out of `run.py`; make reference loading explicit; do not ship reader-facing placeholder text.