Runs the AI Engineer loop on pi — codegraph understand, gather materials, fill prompt templates, review those prompts, then fan out tasks. Use when spawning subagents, building worker prompts from templates, or gating fan-out on prompt review.

Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.

Runs the AI Engineer loop on pi — codegraph understand, gather materials, fill prompt templates, review those prompts, then fan out tasks. Use when spawning subagents, building worker prompts from templates, or gating fan-out on prompt review.

Use when reviewing, designing, or modifying Java enterprise systems that use GenAI, LLMs, AI-assisted coding, RAG, AI agents, generated code, generated dependencies, prompt workflows, external model providers, or AI-enabled business logic and need ISO/IEC 42001 AI management system-aware engineering guidance. Part of Plinth Toolkit

This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the use_figma tool.

This skill should be used when the user asks to "chat with AI", "ask Olly", "ask the agent", "send message to AI", "continue a chat", "follow up on chat", "get artifact", "download artifact", "list artifacts", "retrieve generated content", "AI-generated charts", "AI analysis", "conversational observability", "natural language query", or wants to interact with the Coralogix Observability Agent (Olly) using the cx CLI.

Use when defining automated testing strategies, organizing test pyramids, or establishing test naming conventions across Flutter apps.

Use when troubleshooting memory leaks, optimizing garbage collection overhead, or disposing streams and listeners in Dart.

xurl CLI for authenticated X posts, replies, reads/search, DMs, media upload, followers, auth status, or raw v2 API calls.

OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.

Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.

Capture frames or clips from RTSP/ONVIF cameras and local webcams, including USB pan/tilt/zoom control.

Run macOS Parallels smoke with Discord send, host verification, host reply, and guest readback proof.

Use to talk to the Discord-backed OpenClaw agent/session; not for archive search.

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, or promoting them into skills, commands, or agents.

Read or safely update personal TELOS, or analyze project documentation for goals, dependencies, bottlenecks, narratives, reports, and dashboards. Use for life goals, beliefs, strategies, TELOS updates, project relationship analysis, narrative points, or professional TELOS reports. Do not use for general constitutional interviews.

Diagnose, fix, and validate mise runtime failures. Use when commands fail from mise config, missing runtimes, stale pins, trust prompts, or shell activation drift.

Analyze stale or conflicting lifecycle state by separating local, PR, CI, review, tracker, artifact, and session truth. Use when status is confused, work resumed after drift, evidence lanes disagree, or a closeout claim may be stale.

Explains Jack Wotherspoon's Humans vs Slop talk and helps create quality gates for AI-heavy software work: review-cost analysis, slop detection heuristics, durable-value metrics, and human-judgment checkpoints. Use when the user asks about AI-generated maintenance burden, review economics, or preserving taste in agentic development.