claude

Knowledge Work

Knowledge work, research and decisions, for work that is not code. Decide and research: office-hours, prfaq, plan-ceo-review, roast, deep-research, litreview, deepread, synthesize-research, scientific-problem-selection. Data: profile a dataset, QA an analysis, SQL across warehouse dialects, statistics and A/B tests, Python charts, an offline HTML dashboard. Product operations: metrics reviews, roadmap and stakeholder updates, competitive briefs, market sizing, startup metrics, variance analysis. Support and legal: ticket triage, escalations, contract review, NDA triage. Writing: technical-writing as the entry, with clear-prose and writing-guideline checks, humanize, READMEs and questionnaires. Media and files: HTML slide decks, ffmpeg video editing, file conversion, Mochi flashcard decks and a grounded knowledge vault. Vendored skills are credited in NOTICE.md.

1 on GitHubby Matt Scottv1.0.0updated 7 days agoproductivity
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Plugin work from marketplace skill-marketplace in MattMakes/skill-marketplace. Commands read from the repo's manifest — 6 days ago.

What it installs

Skills (37)

  • build-dashboard

    Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.

  • competitive-brief

    Create a competitive analysis brief for one or more competitors or a feature area. Use when informing product strategy or feature prioritization, building sales battle cards, prepping board or investor materials, or deciding where to differentiate vs. achieve parity.

  • crafting-effective-readmes

    Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

  • customer-escalation

    Package an escalation for engineering, product, or leadership with full context. Use when a bug needs engineering attention beyond normal support, multiple customers report the same issue, a customer is threatening to churn, or an issue has sat unresolved past its SLA.

  • data-visualization

    Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

  • deep-research

    Run a disciplined, multi-source research investigation for a high-stakes question or decision — fan-out web search across many channels, parallel sub-agents, source triangulation (each claim backed by ≥3 independent sources), an adversarial review pass, and every source saved to its own file with ve

  • deepread

    Use when the user asks to deeply read a book, article, PDF, or document set; extract claims and evidence; build a knowledge map; or learn through Feynman explanation and recall. Covers quick, deep, map, Feynman, and whole-book reading modes.

  • explore-data

    Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.

  • file-conversion

    Use when the user needs a local file converted between common image, audio, video, document, or data formats. Select installed tools, preserve originals, and verify the output.

  • frontend-slides

    Build zero-dependency, animation-rich HTML slide decks with keyboard, swipe and progress navigation, discovering the style through visual previews and fitting every slide to the viewport. Use when creating animation-rich HTML presentations, converting a PPT to the web, or enhancing an existing HTML

  • grounded-vault

    Use when maintaining a durable Markdown knowledge store that agents compile from sources, when every number or quote in a wiki page must trace back to an immutable source, or when compiled pages need cheap drift detection against the code they describe. Teaches the raw/wiki/archive layout, per-claim

  • humanize

    Make text sound human and clear. Use when writing or editing prose for human consumption — documentation, articles, commit messages, emails, blog posts, anything a person will read. Do NOT use for artifacts written for AI to consume (system prompts, tool descriptions, agent or skill instructions). R

  • litreview

    Academic literature orientation: searches papers through free keyless APIs (PubMed E-utilities + OpenAlex) by default, with the Consensus MCP as an optional lane when connected, builds a search plan with PICO (default), SPIDER, Decomposition or a hybrid, runs a budgeted set of 5/10/20 queries after

  • market-sizing-analysis

    Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business pl

  • metrics-review

    Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance against targets, or turning raw numbers into a scorecard with recommended actions.

  • mochi-deck

    Teach the user concepts and build spaced-repetition flashcard decks as .mochi files they import into the Mochi (mochi.cards) app. Use whenever the user wants to learn, memorize, or be taught something ("teach me X", "help me learn/remember X", "explain X so it sticks"), asks for flashcards or a deck

  • office-hours

    YC Office Hours in two modes. Startup mode: six forcing questions that expose demand reality, status quo, desperate specificity, narrowest wedge, observation, and future-fit. Builder mode: design-thinking brainstorming for side projects, hackathons, learning, and open source. Challenges premises, fo

  • plan-ceo-review

    CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Four modes: SCOPE EXPANSION (dream big), SELECTIVE EXPANSION (hold scope + cherry-pick expansions), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to es

  • prfaq

    Test a product concept with Amazon's Working Backwards method: write the press release for the finished product first, then answer hard customer and stakeholder questions, ending in a complete PRFAQ document. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challen

  • review-contract

    Review a contract against your organization's negotiation playbook — flag deviations, generate redlines, provide business impact analysis. Use when reviewing vendor or customer agreements, when you need clause-by-clause analysis against standard positions, or when preparing a negotiation strategy wi

  • roadmap-update

    Update, create, or reprioritize your product roadmap. Use when adding a new initiative and deciding what moves to make room, shifting priorities after new information comes in, moving timelines due to a dependency slip, or building a Now/Next/Later view from scratch.

  • roast

    Use when someone asks to roast an idea, pressure-test or stress-test an idea, validate a business idea, "convene the panel", get a brutal second opinion before building something, or says "/roast". Spins up a 5-angle panel (Critic, Champion, Analyst, Investigator, Customer) that attacks the idea fro

  • scientific-problem-selection

    This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research

  • sql-queries

    Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.

  • stakeholder-update

    Generate a stakeholder update tailored to audience and cadence. Use when writing a weekly or monthly status for leadership, announcing a launch, escalating a risk or blocker, or translating the same progress into exec-brief, engineering-detail, or customer-facing versions.

  • startup-metrics-framework

    Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking bus

  • statistical-analyst

    Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes; also describe a metric with descriptive statistics, trend analysis, simple forecasts and outlier or anomaly detection. Use when you need to validate whether observe

  • synthesize-research

    Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap re

  • technical-writing

    Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.

  • ticket-triage

    Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.

  • to-questionnaire

    Turn a decision you can't fully answer into a questionnaire for someone else to fill in. Use when the missing answers live with another person (a client, stakeholder or expert) and the user needs a Markdown document to send them or walk through in a meeting.

  • triage-nda

    Rapidly triage an incoming NDA and classify it as GREEN (standard approval), YELLOW (counsel review), or RED (full legal review). Use when a new NDA arrives from sales or business development, when screening for embedded non-solicits, non-competes, or missing carveouts, or when deciding whether an N

  • validate-data

    QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data

  • variance-analysis

    Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.

  • video-editor

    Programmatic video editing via ffmpeg CLI. Handles trimming clips, merging/concatenating videos, overlays (picture-in-picture, watermarks, logos), crossfade transitions between clips, speed ramping (speed up/slow motion), cropping to aspect ratios (16:9 to 9:16), scaling/resizing, adding or replacin

  • writing-clearly-and-concisely

    Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.

  • writing-guidelines

    Review docs and prose for compliance with the Vercel Writing Guidelines (content type, voice and tone, banned words, concision, structure, AI-generated tells) and report findings in file:line form. Use when asked to review docs, check writing style, audit prose, review voice and tone, or check a pag

View source on GitHub

More from MattMakes/skill-marketplace

All 5 plugins →

Take a change from idea to production, in one plugin. Decide: interview-me, grilling, spec, requirement-convergence. Shape: ddd runs the nine-step DDD Starter Modelling Process with validators, a review page, diagrams and recorded decisions; Blueprint renders architecture, sequence, workflow, data-flow and lifecycle diagrams; ADRs, contracts, module design. Understand: core primes a repo with a knowledge graph and keys keeps one AGENTS.md tree; trace, research-codebase, deepwiki, explain-diff. Build: a planned pipeline from brainstorm to change-description, with tdd, debug, swarm and unlazy. Verify: code-sweep review, complexity, blast radius, verify-feature, harnesses and test suites. Secure: security-sweep. Ship: ship-gate, SLOs, flags, CI/CD, migrations. Principles and stack references are router skills that load one guide at a time. The DDD and Blueprint tools require Node.js 18 or newer. Vendored skills are credited in NOTICE.md.

142 skills · 5 agents

1

How should it look and feel? A design-system spine with the design-critic agent: house rules (design-doctrine), DTCG design tokens in three tiers, brand kits, a token build, governance, migration to or from external design systems, Figma sync and DESIGN.md; component, screen and dashboard design with any-framework code generation, image-to-code, redesign and fidelity prototypes; UX writing. Directions against generated-looking UI: frontend-design, impeccable, hallmark, ui-ux-pro-max, Emil Kowalski's design engineering and 138 named design systems. Gates that measure instead of claim: contrast, states, axe, keyboard, target size, overflow, reduced motion and responsive behaviour in light and dark; WCAG 2.2 audits, screen-reader testing and Core Web Vitals. Critique with a Rams lens, design review and plan-design-review. Adapted from plugin87/ux-ui-agent-skills (MIT) and vendored skills; see NOTICE.md.

34 skills · 1 agent

1

Make a game, from idea to release. A design studio: ideation, fun targeting, core loop, systems and economy, progression, levels and UX, art direction, a game brief, a prototype plan, design diagrams and a one-page design as HTML, SVG and PDF. A review board backed by cited rules from 38 game-development books: game-studio-cpo and auditors for systems, balance, code, performance and QA. A Godot build kit: scripted bots and balance models, upgrade trees, feature seams and save migrations, headless runs and tests, frame-cost measurement, rendered-frame checks, pixel art, audio, release builds and store pages, and habits for a worker fleet.

30 skills

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Build AI systems. Agents: loop-design-check, agent-architecture-audit, autoresearch-agent, cli-for-agents, writing-for-agents and llm-friendly-context, model-router. Skills and servers: skill-creator, mcp-builder, harvest and book-to-skill. Fleets: herdr-orchestrator, herdr-worker, herdr-atomic and herdr-setup run a multi-agent worker fleet through the horch CLI. Models: decide whether to fine-tune, build the eval harness first, curate datasets, LoRA/QLoRA, preference optimisation, GRPO/RLVR, checkpoint promotion, and RAG and recommender pipeline design. skill-creator and mcp-builder are owned copies of Apache-2.0 skills from anthropics/skills; vendored skills are credited in NOTICE.md.

24 skills

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