Build a complete marketing plan covering the full customer journey from stranger to raving fan. Use when the user mentions "marketing plan", "marketing strategy", "target market", "USP", "lead nurture", "customer lifetime value", "PVP Index", or "I dont know where to start with marketing". Also trigger when building a marketing plan from scratch, choosing acquisition channels, or designing end-to-end customer-lifecycle campaigns. Covers the PVP Index, channel selection, and advocacy systems. For brand messaging, see storybrand-messaging. For conversion optimization, see cro-methodology.

Design habit-forming product loops using the Hook Model (Trigger, Action, Variable Reward, Investment). Use when the user mentions "users arent coming back", "habit formation", "engagement loops", "habit zone", or "the manipulation matrix". Also trigger when designing notification or re-engagement strategies, building streaks or progress systems, or analyzing why users stop after signup. Covers ethics evaluation and onboarding for habits. For friction reduction and B=MAP, see improve-retention. For viral sharing, see contagious.

Design motivation systems using Autonomy, Mastery, and Purpose (AMP) for products and teams. Use when the user mentions "intrinsic motivation", "gamification isnt working", "rewards arent working", "autonomy", "mastery", "purpose-driven", "my team is disengaged", or "how do I motivate people". Also trigger when designing onboarding progression, fixing broken gamification, or building team structures that sustain high performance. Covers why carrot-and-stick fails and how to build progress systems. For habit-forming product loops, see hooked-ux. For retention behavior design, see improve-retention.

Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "which database should I use", "SQL or NoSQL", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID transactions", "eventual consistency", "my queries are slow at scale", or "data is inconsistent across replicas". Also trigger when choosing a datastore, designing data pipelines, or debugging distributed-system consistency issues. Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-it.

Structure software around the Dependency Rule: source code dependencies point inward from frameworks to use cases to entities. Use when the user mentions "architecture layers", "dependency rule", "ports and adapters (hexagonal)", "onion architecture", "screaming architecture", "where should business logic go", "decouple from the database", "swap the framework without a rewrite", or "keep business rules independent". Also trigger when deciding which layer code belongs in, isolating core logic from infrastructure, defining module boundaries, or debating whether the framework should call your code or the reverse. Covers component principles, boundaries, and SOLID. For code-level quality, see clean-code. For domain modeling, see domain-driven-design.

Build a complete marketing plan covering the full customer journey from stranger to raving fan. Use when the user mentions "marketing plan", "marketing strategy", "target market", "USP", "lead nurture", "customer lifetime value", "PVP Index", or "I dont know where to start with marketing". Also trigger when building a marketing plan from scratch, choosing acquisition channels, or designing end-to-end customer-lifecycle campaigns. Covers the PVP Index, channel selection, and advocacy systems. For brand messaging, see storybrand-messaging. For conversion optimization, see cro-methodology.

Apply Clean Architecture principles to define layer boundaries, identify dependency violations, and structure domain vs infrastructure code. Use when designing service boundaries, separating business logic from infrastructure, evaluating hexagonal/onion/ports-and-adapters architecture, structuring module layout, or resolving dependency inversion and circular dependency issues.

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.

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.

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.

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.

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

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.

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.

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.

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.

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 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.

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