Designs and tests TypeScript inference and generic relationships. Use when working with conditional or mapped types, correlated key/value APIs, variadic tuples, type recursion, or compile-time fixtures.

Language-specific best practices, code quality standards, and framework detection rules. Use when executing refactoring workflows, applying code quality rules, detecting frameworks, or checking language-specific patterns for TypeScript, Python, Go, Swift, or React.

Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources. Use only when the user needs rigorous synthesis of a complex topic (scientific, technical, policy, or market-analytical) that cannot be answered with a short search, and wants a formal written report, not a recommendation list. Do not use for product picks, top-N lists, quick lookups, or routine "find out about X" tasks. If the request does not clearly need this kind of report, do not use this skill. Do not use for a literature review over published papers. This skill collects evidence from the open web. A request for the literature on a biomedical, clinical, life-science, or other scientific topic — papers, studies, trials, preprints — belongs to firecrawl-research-papers, which queries Firecrawl's paper index (PubMed, bioRxiv, medRxiv, arXiv) instead of searching websites.

Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm. The panel fans out to five mandatory specialists plus a test-coverage specialist (active on every PR that touches src/) plus three conditional specialists (auth, doc-writer, performance-expert), all running in their own agent threads, and a CEO synthesizer. The orchestrator is the sole writer to the PR: ONE recommendation comment, no verdict labels, no merge gating. The panel is advisory -- it surfaces findings, prioritizes follow-ups, and renders a ship-recommendation that the maintainer and author weigh. Activate when a non-trivial PR needs a cross-cutting recommendation (architecture, CLI logging, DevX UX, supply-chain security, growth/positioning, optionally auth, docs, perf, and test coverage, with CEO arbitration).

Use this skill when you need to initialize or restart local web and mobile app projects through the bundled Rust `ii-app` CLI instead of calling MCP tools.

Use this skill when a PinMe project (Worker TypeScript) needs to integrate email sending (send_email). Guides AI to generate correct Worker TS code.

Generate Excalidraw diagrams from text content. Supports three output modes - Obsidian (.md), Standard (.excalidraw), and Animated (.excalidraw with animation order). Triggers on "Excalidraw", "diagram", "standard excalidraw", "animate".

Use when preparing or executing a release - runs the authoritative local gates, verifies release content, and, when explicitly authorized, pushes the release tag

Use when working on a GitHub issue - fetches issue details, analyzes codebase, implements fix following project methodology

Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /aiception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is identified. Integrates with Open Brain to prevent duplicates.

Syncs Claude Code's local memory system to Open Brain. Triggers whenever memories are saved via dreaming, autodream, or explicit "remember this" requests. After every local memory file write, captures the same content to Open Brain via mcp__open-brain__capture_thought so that memories are accessible from all connected AI clients (ChatGPT, Claude Desktop, Codex) and across all devices. Trigger on: memory saves, autodream, dreaming, "remember", "save to memory", or any write to the .claude/projects/*/memory/ directory.

Use when an agent needs to call a running Modly desktop instance from the terminal to generate/export image-to-3D assets through canonical JSON-first automation commands.

Query boundaries with TanStack Query and Wellcrafted Results. Use when editing createQuery, createMutation, resultQueryOptions, resultMutationOptions, defineQuery, defineMutation, defineKeys, shared cache identity, mutation lifecycle, or service-to-TanStack adapters.

wellcrafted/logger for library diagnostics: 5 levels, typed errors, injected sinks, and host-owned durability. Use for attach primitives, background errors, durable host logs, or replacing console.* in library code.

Identify an asymmetric win by refusing a small promise that would eliminate disproportionate complexity. Use when the user asks about asymmetric wins, pixel perfect fidelity, compatibility, fallbacks, modes, duplicate paths, or what would delete disproportionate complexity.

Draft a `/goal` line that gives long-running Codex or Claude Code work an objective, validation evidence, and a stop condition. Use when the user explicitly asks for `/goal`, an agent goal, or a completion condition.

This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.

Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.

Adversary-emulation playbook catalog — per-actor kill chains that turn an APT/eCrime threat profile into Decepticon CONOPS phases + OPPLAN objectives. Routing skill: pick the actor, seed plan/threat-profile.json, then map each kill-chain phase to the operational skill the executing agent runs. Triggers on: 'emulate', 'adversary emulation', 'APT playbook', 'threat actor playbook', 'emulation plan', 'attack flow'.