Triage a tool or library into a structured reference summary for the research repo. Use when given a GitHub URL, npm package, PyPI package, or CLI tool name. Creates references/{slug}.md with architecture overview and scope assessment; adds REVIEWED.md entry and REFERENCE_INDEX.md row. Triggers: triage tool, add tool, analyse tool, GitHub project, npm package, PyPI package, library, framework, CLI tool, MCP server, open source project.

Creates a structured, date-stamped context file filed by typology (findings, plans, goals, evidence, guides, follow-ups, merge-requests, tickets, decisions, notes, research) with YAML frontmatter. Use when saving a finding, writing a plan, capturing a guide, recording a decision, logging a follow-up, filing a merge-request note, capturing work as progression evidence, plus ticket write-ups.

Creates test stacks, analyzes CloudFormation events, compares actual vs documented update behavior, then confirms whether a resource property change triggers replacement rather than an in-place update. Use when: testing if a CFN property change causes resource replacement; investigating stack update behavior, "Update requires" documentation accuracy; validating whether a workaround (e.g. hash-based logical IDs) is actually necessary; questioning UpdateRequiresReplacement behavior for immutable properties; needing empirical evidence before an architectural decision involving CDK/CloudFormation stack updates.

Extract structured data from scientific literature PDFs using AI-powered OCR and LLM analysis. Supports enzyme kinetics, experimental results, and literature review templates. Use when researchers need to parse tables, charts, or text from paper PDFs into Markdown or CSV. Triggers: extract data from PDF, scientific data extraction, parse paper tables, enzyme kinetics extraction, batch PDF extraction, literature data, research data from paper, OCR scientific paper, convert PDF to structured data.

Comprehensive toolkit for validating, linting, and optimizing bash and shell scripts. Use this skill when working with shell scripts (.sh, .bash), validating script syntax, detecting unquoted variables, checking POSIX compliance, identifying unsafe command substitutions, validating shebang lines, finding security vulnerabilities, or debugging shell script problems.

Complete Commander.js CLI framework guidance covering command structure, options, arguments, subcommands, action handlers, version management, and TypeScript integration. Use when: building CLI tools, parsing command-line arguments, implementing subcommands, handling options/flags, creating interactive CLIs, or migrating from other CLI frameworks. Keywords: Commander.js, CLI, command-line, arguments, options, flags, subcommands, action handlers, version, help text, TypeScript, yargs, meow, program, parseAsync, opts, args, variadic, required options, default values, custom help, error handling

Generate an original, high-energy observational stand-up bit — a routine built on one bold contrastive claim ("there's a difference between X and Y") about society, relationships, race, gender, class, money, respectability politics, media hypocrisy — escalating through rhythmic repetition, rising volume, a voiced-then-defeated imagined objector, a sharpened recurring refrain, toward a tight, quotable, unhedged aphoristic closing line, in the tradition of Chris-Rock-style observational stand-up. Trigger on requests to write a stand-up bit, comedy routine, observational monologue with escalating examples building to a punchline. This skill is not for scripted sketch comedy, character-based sketches, mockumentary bits, confessional storytelling comedy, flat one-liner lists lacking escalation, or requests to reproduce a real comedian's actual material verbatim.

Generate an original British surrealist comedy sketch, script, or comic bit in the Monty Python tradition, built on absurd literalism, escalating internally-consistent illogic, bureaucratic pedantry, semantic argument, deadpan seriousness amid impossible premises, sudden non sequiturs, abrupt anticlimactic endings. Use this when a user asks for a new sketch, script, dialogue bit, or scene built on a mundane premise pushed to logical extremes. Do NOT use this to reproduce, quote, paraphrase, reword any actual Monty Python sketch, character, catchphrase (e.g. Dead Parrot, Spanish Inquisition, Ministry of Silly Walks, Argument Clinic); this is a generative skill for fresh original material, not a lookup, quotation, transcription tool. Not for slapstick, observational stand-up, roast comedy, American-style sitcom writing, where the humour depends on delivery, timing, rather than an escalating internally-consistent premise.

Apply the Meshtastic design standards on Android - brand colours, Material 3 tokens, MeshtasticIcons and accessibility - with the upstream `meshtastic/design` standards as the source of truth. Use this whenever you choose a colour, icon, spacing value or contrast level, and before claiming a screen matches the design.

Run the full Stitch SDK generation pipeline. Use when a new tool is added, or the SDK needs to be regenerated end-to-end.

When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.

When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," or "account creation flow." For post-signup onboarding, see onboarding-cro. For lead capture forms (not account creation), see form-cro.

Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.

When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," or "CTA copy." For email copy, see email-sequence. For popup copy, see popup-cro.

Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.

Analyzes meeting transcripts and recordings to surface behavioral patterns, communication anti-patterns, and actionable coaching feedback. Use this skill whenever the user uploads or points to meeting transcripts (.txt, .md, .vtt, .srt, .docx), asks about their communication habits, wants feedback on how they run meetings, requests speaking ratio analysis, mentions filler words or conflict avoidance, or wants to compare their communication across time periods. Also trigger when users mention tools like Granola, Otter, Fireflies, or Zoom transcripts. Even if the user just says "look at my meetings" or "how do I come across in meetings" — use this skill.

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'GTM plan,' 'launch checklist,' or 'launch momentum.' This skill covers phased launches, channel strategy, and ongoing launch momentum.

X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.

Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.

When the user wants to develop social media strategy, plan content calendars, manage community engagement, or grow their social presence across platforms. Also use when the user mentions 'social media strategy,' 'social calendar,' 'community management,' 'social media plan,' 'grow followers,' 'engagement rate,' 'social media audit,' or 'which platforms should I use.' For writing individual social posts, see social-content. For analyzing social performance data, see social-media-analyzer.