Write clear, testable acceptance criteria for user stories and feature delivery; use when defining done conditions, creating measurable requirements, applying INVEST checks, documenting negative scenarios, and aligning product, engineering, and QA on expected outcomes.

Ready up Jira tickets for refinement by gathering context from linked incidents, populating a YAML template following the project's 'ready for refinement' standard, validating against a JSON schema, and generating a structured markdown document. Use when asked to 'ready up', 'ready a ticket', 'prepare for refinement', or 'write up PROJ-NNN'. Keywords: jira, ticket, refinement, ready, backlog, YAML template, JSON schema, context, conditions of satisfaction, acceptance criteria.

MoSCoW prioritization: categorize requirements into Must Should Could Won't tiers using failure-focused test. Apply for backlog refinement, feature prioritization, sprint planning, release scope decisions, rebalance Must tier, create Won't items with revisit dates, adjudicate stakeholder disagreements, produce decision log. Keywords: prioritization, backlog, refinement, sprint planning, release scope, rebalance, stakeholder, decisions, MVP, scope control.

Expert assistant for chezmoi dotfiles management. Use when the user is managing dotfiles with chezmoi: adding files, creating templates, encrypting secrets, writing run scripts, syncing across machines, or diagnosing why changes aren't applying. Trigger phrases: 'add to chezmoi', 'make a template', 'chezmoi apply', 'encrypt with chezmoi', 'run script on first apply', 'sync dotfiles to new machine', 'chezmoi diff shows unexpected changes', 'source attribute', 'dot_ prefix', 'once_ script'.

Use this skill when managing packages, external dependencies, binaries, or CLI tools in a chezmoi dotfiles repository. Handles adding/updating/removing packages in .chezmoidata/packages.yaml, creating .chezmoiexternals/ organized files, pinning versions with Renovate automation, and selecting the correct package ecosystem (Homebrew, mise, Python, Docker, chezmoi externals).

Validates emotions, maintains empathetic tone, avoids premature reassurance, and prevents repetitive or hollow responses during extended emotional exchanges. Use when the person is expressing grief, pain, fear, hopelessness, anger, or other intense emotions across multiple turns — especially when the conversation extends into prolonged emotional territory. Addresses LLM behavioral failure modes (strategy preference collapse, premature escalation, grief-flattening), not clinical intervention. Not a substitute for professional mental health support.

Produce premier client-ready proposals, capability decks, and case studies for Metis Strategy BD work. Use whenever the user asks to create, build, draft, rebuild, or iterate on a proposal, capabilities deck, case study, BD follow-up, or pitch document. Trigger on: "proposal," "premier proposal," "capabilities deck," "capabilities piece," "case study," "BD follow-up," "build the proposal," or "proposal" with BD context (transcript, prospect, champion, buyer, SVP, CDO, CIO). Also trigger when source material (transcript, PPTX, notes) is provided and a polished client-ready output is requested. Output is a 16:9 landscape PDF (13.33" x 7.5", 10-25 pages) with full-bleed photography, branded graphic devices, and ReportLab layout. Do NOT use for: PowerPoint decks (metis-pptx); whitepapers (metis-whitepaper); one-pagers or internal reports (metis-pdf-creator); SOWs/MSAs (metis-legal-drafting); capability maps (metis-capability-map).

Creates Postgres INSERT triggers that fire Edge Functions for document chunking and embedding generation. Configures the ingestion pipeline from raw document insert to vector storage. Use when building RAG ingestion, embed-on-insert pipelines, database-driven document ingestion, or automated embedding workflows.

Executes EXPLAIN ANALYZE via MCP to debug slow queries, identify missing indexes, detect sequential scans, and optimize query plans. Use when debugging slow SQL, analyzing query plans, finding unused indexes, optimizing Postgres queries, or investigating index-not-used issues.

Implements server-side auth session management with HTTP-only cookie synchronization for Next.js, SvelteKit, and other SSR frameworks. Depends on PKCE auth flow. Use when implementing SSR authentication, server-side session sync, HTTP-only auth cookies, Next.js Supabase auth, or SvelteKit Supabase auth.

Professional UI/UX design skill for React, Next.js, Tailwind CSS, React Native, and Flutter. Use when the user asks to create or polish UI components (modals, forms, tables, charts, navbars, sidebars, cards), design landing pages, build dashboards or admin panels, set up SaaS or mobile app screens, review or fix layout and accessibility issues, configure dark mode or responsive breakpoints, or establish a design system with tokens and component specs. Capabilities include: creating design-system token files and MASTER.md artifacts, generating responsive Tailwind layouts, scaffolding page-level component hierarchies, reviewing and fixing UI accessibility (a11y, WCAG), implementing React Native safe-area screens, and configuring Flutter ThemeData. Outputs design-system files (MASTER, page overrides, tokens, component specs) plus stack-faithful code. Do NOT use for: pure backend-only work with no UI impact, or inventing branding assets you do not have rights to use.

Groups plan phases and tasks into dependency-ordered waves for parallel subagent execution via git worktrees. Builds a task dependency DAG, assigns wave numbers via topological sort, emits a living wave document that tracks status as work lands, and updates wave progress when tasks complete. Use when asked to: group tasks into waves, plan parallel execution, schedule worktrees, create a wave breakdown, wave planning, dependency grouping, update wave statuses, parallel subagents, which tasks can run in parallel.

Enforce safety constraints on system commands before execution. Use this skill whenever the agent needs to run shell commands, terminal operations, or system-level actions. It classifies commands into BLOCKED, CONFIRM, or ALLOWED and prevents dangerous operations from executing.

Standardize Python project setup and validation with uv, ruff, typos, and mypy. Use when creating a new Python project, normalizing an existing repository, adding Python quality tooling, or driving Python code to a clean lint, spelling, formatting, and type-check state through a repeatable uv-based workflow.

Creates high-quality agent skills by running the official Claude skill creator plugin and then applying a structured set of enhancement phases covering use-case design, frontmatter completeness, body structure, writing quality, and progressive disclosure architecture. Use this skill when the user wants to create a new skill, improve an existing SKILL.md, or asks "how do I write a good skill", "help me make a skill for X", "review my SKILL.md", or "turn this workflow into a skill". Trigger even if the user just says "let's make a skill" or describes a workflow they want to capture.

Creates professional, on-brand PDF documents for Metis Strategy using PDFKit (Node.js). Use this skill whenever the user asks to create, generate, produce, or build any PDF that should follow Metis brand standards — this includes consultant guides, setup documents, reference cards, one-pagers, methodology overviews, CDLC materials, internal reports, or any other document for Metis Strategy. Trigger on phrases like "create a PDF", "build a branded document", "generate a guide", "make a one-pager", or any request to produce a formatted document for Metis. Also trigger when the user asks you to fix or regenerate an existing Metis PDF that has formatting issues.

Summarize any video by analyzing both audio and visuals. Downloads via yt-dlp, extracts transcript (YouTube captions or Whisper), pulls scene-detected keyframes, and produces a multimodal summary with clickable timestamped YouTube links. Use this skill whenever the user wants to summarize a YouTube video, digest a talk or tutorial, get notes from a video, extract key points from a recording, or says things like "tl;dw", "summarize this video", "what's in this video", or pastes a YouTube URL and asks for a summary. Also triggers for non-YouTube URLs that yt-dlp supports.

Assess your AI fluency using Anthropic's 4D framework (Dakan, Feller & Anthropic, 2025). Scans Claude Code sessions, runs LLM-based behavior classification on all messages, asks a self-assessment questionnaire for 6 unobservable behaviors, and generates a visual HTML report with scores and actionable feedback. Use when "assess fluency", "AI fluency", "fluency report", "fluency assessment", "4D framework", or "how AI fluent am I".

Meilisearch search engine integration with the JavaScript/TypeScript SDK (v0.44+). Use when working with Meilisearch indexes, search queries, filters, facets, sorting, multi-search, tenant isolation, document sync, or search settings configuration. Triggers on: meilisearch client setup, index creation, addDocuments, search with filters, facetDistribution, tenant tokens, multi-search, ranking rules, filterable/sortable/searchable attributes. Use this skill any time the user mentions Meilisearch, search indexing, full-text search in their app, or asks about tenant-scoped search — even for simple tasks like 'add search to this page', because the skill contains critical multi-tenancy and filter syntax patterns that prevent data leaks.

Generate GNU Make build systems that define build targets, configure dependencies, set up phony targets, and implement parallel builds. Use when creating make/Makefile/.mk files, implementing compile rules, or building production-ready build automation for C/C++, Go, Python, and Java projects.

Comprehensive toolkit for validating, linting, and optimizing Makefiles. Use when working with Makefiles (Makefile, makefile, *.mk files), validating build configurations, checking for best practices, identifying security issues, or debugging Makefile problems. Concrete capabilities include detecting missing .PHONY declarations, validating tab indentation in recipes, checking variable expansion safety, identifying hardcoded credentials, and flagging missing prerequisites or syntax errors.

Audit the security of installed tessl skills using Snyk security scores from the Tessl Registry. Use this skill whenever the user asks to audit their skills, check skill security, get a security review of their tessl skills, find out how safe their installed skills are, wants a tessl security report, or asks about prompt injection risks in their agent setup. Reads tessl.json, fetches each skill's Snyk security score and findings from the registry, and presents a formatted security report with per-skill risk verdicts, finding categories, and an overall project risk profile with recommendations.

Executes a single planned implementation task with a mandatory approval gate, scope guardrails, and evidence capture. Use when a user wants to implement, run, or execute a specific task from a project plan — such as coding a feature, applying a patch, or making targeted file changes — while enforcing explicit scope boundaries, a pre-implementation confirmation prompt, test/lint verification, and status tracking in context/plans/{plan_id}.md.

Executes a single planned implementation task with a mandatory approval gate, scope guardrails, and evidence capture. Use when a user wants to implement, run, or execute a specific task from a project plan — such as coding a feature, applying a patch, or making targeted file changes — while enforcing explicit scope boundaries, a pre-implementation confirmation prompt, test/lint verification, and status tracking in context/plans/{plan_id}.md.