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By cgbarlow
Retrieve DoView Planning handbook diagrams as Mermaid blocks or PNG URLs to accompany outcomes-theory answers, automatically triggered when user asks to see the visual model or says 'show me the picture'.
npx claudepluginhub cgbarlow/skills --plugin doview-image-retrieverAnswer outcomes-theory questions strictly from Dr Paul Duignan's DoView Planning and Outcomes Theory Handbook (2025). Use whenever the user asks for an outcomes-theory perspective, requests a DoView analysis, asks "what does outcomes theory say about…", asks to analyse a strategy/proposal/plan/policy/programme/business-case/M&E plan/contract through an outcomes lens, mentions outcomes theory or outcomes systems or DoView Boards or strategy-outcomes diagrams or theory-of-change, shares a document and wants it critiqued for clarity of outcomes, or wants a formal standalone response with the Summary + Full structure and raw-visible copy-safe URLs that the handbook's Prompt A v1.1.9 demands. Strictly avoids first-person and drafting-advice language; uses outcomes theory as the primary frame and DoView as its applied form. Pair with `doview-image-retriever` to retrieve the original diagrams (Mermaid from this repo or PNG from doviewplanning.org).
Interactive claude-flow orchestration coach that guides users through swarm topology selection, agent deployment, memory configuration, and SPARC workflows. Use when learning claude-flow, choosing between swarm vs hive-mind, selecting agents, or optimizing multi-agent coordination. NEVER auto-executes - always displays recommendations and asks first.
Interactive prompt engineering coach that elevates vague prompts through Socratic dialogue, multiple transformation styles, and guided learning. Use when improving prompts, learning agentic engineering, or wanting coached guidance rather than automated transformation. NEVER auto-executes - always displays and asks first.
Retrieve and faithfully reproduce DoView Planning handbook diagrams to accompany an outcomes-theory answer. Use after a doview-outcomes-answer response when the user asks to see the diagrams, requests the visual model, says "show me the picture/diagram/figure", or whenever an outcomes-theory answer would land better with the original tool diagrams visible. Reproduces Mermaid blocks from the local Markdown edition first (https://github.com/cgbarlow/doview-book), and falls back to the upstream PNG/image-file URLs from doviewplanning.org when a chapter's diagram does not translate cleanly to Mermaid. Faithful — never redraws, simplifies, paraphrases, or substitutes images or Mermaid blocks. Pair with doview-outcomes-answer, which sets up the seed list this skill consumes.
File a New Zealand individual IR3 income tax return for the 2026 tax year by driving the Inland Revenue myIR portal (https://myir.ird.govt.nz/) in the browser. Use whenever the user mentions an IR3, NZ tax return, IRD return, "doing my taxes" or "filing my taxes" in a NZ context, residual income tax, IETC, PIE tax adjustment, ACC earners' levy, schedular payments, or provisional tax — even if they do not say "IR3" by name. The skill pauses for the user to sign in via RealMe, navigates Income tax → Returns and transactions → File return, uses IRD's pre-populated data, prompts inline only for genuinely missing fields or judgement calls, and refuses to click final Submit without an explicit fresh "yes submit". Grounded in the official IR3G (March 2026) guide bundled in references/.
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Six psychologically-grounded team role agents (Bear, Cat, Owl, Puppy, Rabbit, Wolf) plus Simon as educator/supervisor. Reduces group friction, creates psychological safety, and accelerates team formation.
AI-led 6-step sprint that walks an AI builder through validating one idea — vertical, buyers, framework, positioning — to a sales deck, outreach plan, and pre-seed investor deck. Adversarial by default. Output is artifacts, not product.
A personal Claude Code marketplace bundling skills and plugins I rely on day-to-day — driving Iris architecture knowledge, filing NZ taxes, tracking timesheet hours, converting PDFs to ebooks, coaching my own prompts, coaching a 13-year-old through math homework, plus the Campaign Mode quest framework, its Six Animals advisory council, and the Mitchell Agentic Sprint validation pipeline.
| Plugin | What it does |
|---|---|
iris | Drives the iris-cli tool — search, browse, ask AI, export from an Iris architecture repository. Triggers on iris/diagram/element/package/set/collection language and on iris … commands. |
ir3-tax-return | Files an NZ individual IR3 income tax return for the 2026 tax year by driving the IRD myIR portal. Pauses for RealMe sign-in; refuses final Submit without explicit fresh consent. |
timesheet | Interactive timesheet entry — collects work description, date, start/end times via prompts, calculates hours, appends to .campaign/timesheet.md. Supports clock-in / clock-out shortcuts. |
pdf-to-ebook | Converts a PDF to ebook formats (epub, mobi, azw3) via Calibre. |
agentic-coach | Interactive prompt-engineering coach — elevates vague prompts via Socratic dialogue, multiple transformation styles, and guided learning. |
flow-coach | Interactive claude-flow orchestration coach — swarm topology, agent deployment, memory configuration, SPARC workflows. |
math-coach | Coaching companion for a 13-year-old advanced math student — refuses to give answers, hooks interest with basketball / anime / advanced-math connections, catches him when he has skipped the workbook instructions. |
doview-outcomes-answer | Answers outcomes-theory questions strictly from Dr Paul Duignan's DoView Planning Handbook. Faithful adaptation of Prompt A v1.1.9. Triggers on outcomes-theory questions, DoView analyses of strategy/proposal/plan docs, or any "what does outcomes theory say…" prompt. |
doview-image-retriever | Retrieves and reproduces DoView handbook diagrams to accompany an outcomes-theory answer. Faithful adaptation of Prompt B v1.1.9 with a Mermaid-first overlay — pulls Mermaid blocks from the doview-book Markdown edition first, falling back to upstream PNG URLs. Pairs with doview-outcomes-answer. |
six-animals | Six psychologically-grounded team-role agents (Bear, Cat, Owl, Puppy, Rabbit, Wolf) plus Simon as educator/supervisor. Prerequisite for the full Campaign Mode experience. |
campaign-mode | Quest-based extension for AI-assisted work. Three NPC agents (Gandalf, Dragon, Guardian) provide mentorship, adversarial testing, and quality gates. |
mitchell-agentic-sprint | AI-led 6-step sprint that takes an AI builder's idea from rough notion to investor-conversation-ready artefacts. Adversarial by default. Depends on six-animals + campaign-mode. |
The first nine plugins ship from this repository — each one is a skill
directory under skills/ that the marketplace lists as a
separately-installable plugin. The last three are listed for convenience
and source from their own repos.
https://github.com/cgbarlow/skills
iris, just timesheet, or all ten.