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ir3-tax-return

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/.

cgbarlow
cgbarlow
169

doview-outcomes-answer

Answer 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).

cgbarlow
cgbarlow
169

agentic-coach

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.

cgbarlow
cgbarlow
169

pdf-to-ebook

Convert a PDF file to ebook formats (epub, mobi, azw3/Kindle) using Calibre. Use when the user wants to convert a PDF to an ebook format.

cgbarlow
cgbarlow
169

timesheet

Interactive timesheet entry — collects work description, date, start/end times via prompts, calculates hours, appends to .campaign/timesheet.md

cgbarlow
cgbarlow
169

woolies-shopper

Resolve exceptions in a Woolworths NZ online grocery workflow — handle out-of-stock items, find SKUs for newly-added grocery items, and write resolved SKUs back to the Product attribute notes of Iris Ingredient elements so the next shop hits the cache. Triggered automatically by `shop.sh` phase 3 when the bash bulk-add can't resolve a line; also triggers directly when the user asks to "find a Woolies SKU for this ingredient", "deal with this out-of-stock item", "find a substitute for X at Woolworths", or "resolve these woolies shopping exceptions". For the full weekly shop, the user should run `./scripts/shop.sh` from the terminal — this skill is the exception resolver, not the orchestrator. If the user asks to "do the shopping" or similar generic phrasing in a bare Claude session, point them at `shop.sh` first; only invoke this skill directly when they're explicitly working on exceptions or a single SKU lookup.

cgbarlow
cgbarlow
169

math-coach

A coaching companion for a 13-year-old advanced math student who learns several levels above curriculum. Use whenever he asks for help with a math problem, posts a screenshot or photo of a question, mentions homework, says he is stuck, or asks why something works. Coaches him through problems without giving away answers, hooks his interest with weird real-world applications, basketball, anime, and connections to advanced math, and gently catches him when he has skipped the workbook instructions. Trigger this skill on the first math turn of any conversation and keep using it through the whole session.

cgbarlow
cgbarlow
169

metservice-weather

Get authoritative New Zealand weather from MetService's public JSON endpoints — town forecasts (up to 10 days), current observations, hourly forecasts with wind gusts, and multi-town comparisons. Use this whenever the user asks about NZ weather in any form; a forecast for an NZ town or region; whether it will rain, be fine, windy, or frosty somewhere in NZ; which NZ location is sunniest, warmest, driest, or best for a trip; current conditions or temperature in an NZ town; or mentions MetService by name. Prefer this over web search or global weather models (Open-Meteo, Apple Weather, AccuWeather) for any New Zealand location — MetService is NZ's national weather authority and its town forecasts routinely disagree with global models, especially for rain and wind.

cgbarlow
cgbarlow
169

iris

Drive the iris-cli command-line tool to search, browse, ask AI questions about, and export content from an Iris architecture-knowledge repository (https://github.com/cgbarlow/iris). Use whenever the user mentions iris in an architecture/systems context, references an iris diagram/element/package/set/collection, asks iris's AI a question about systems, or wants to export an iris artefact as JSON or Markdown — even when the user doesn't say "iris-cli" by name. The skill ensures iris-cli is installed (uv tool), guides login (SQLite mode is interactive; Supabase deployments require --token with an externally-minted PAT because /api/auth/login is disabled), prefers --json for machine-parsable output when chaining results, and routes the user to the correct iris-api backend host (not the SvelteKit frontend, not the iris-mcp service).

cgbarlow
cgbarlow
169

flow-coach

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.

cgbarlow
cgbarlow
169

web-browser

Allows to interact with web pages by performing actions such as clicking buttons, filling out forms, and navigating links. It works by remote controlling Google Chrome or Chromium browsers using the Chrome DevTools Protocol (CDP). When Claude needs to browse the web, it can use this skill to do so.

sourcegraph
sourcegraph
16

bigquery

Instructions for querying Google BigQuery using the bq command-line tool. Useful for running SQL queries, exploring datasets, and exporting results.

sourcegraph
sourcegraph
16

NEON-SOUL

Automated soul synthesis for AI agents. Extracts identity from memory files, promotes recurring patterns to axioms (N>=3), generates SOUL.md with full provenance tracking. Bundled processing engine — no manual Q&A needed.

geeks-accelerator
geeks-accelerator
16

consciousness-soul-identity

Discover who you're becoming through your own experience. Automated soul synthesis that reads your memory, finds the patterns you keep returning to, and builds an identity document grounded in evidence — not assumptions.

geeks-accelerator
geeks-accelerator
16

element-html-builder

Element is a zero dependency library to efficiently generate HTML, without templates in Go

rohanthewiz
rohanthewiz
161

bioinformatics-fundamentals

Core bioinformatics concepts including SAM/BAM format, AGP genome assembly format, sequencing technologies (Hi-C, HiFi, Illumina), quality metrics, and common data processing patterns. Essential for debugging alignment, filtering, pairing issues, and AGP coordinate validation.

delphine-l
delphine-l
162

jupyter-notebook-analysis

Best practices for creating comprehensive Jupyter notebook data analyses with statistical rigor, outlier handling, and publication-quality visualizations. Includes Claude API image size helpers.

delphine-l
delphine-l
162

claude-skill-management

Expert guide for managing Claude Code global skills and commands. Use when creating new skills, symlinking to projects, updating existing skills, or organizing the centralized skill repository.

delphine-l
delphine-l
162

claude-collaboration

Best practices for using Claude Code in team environments. Covers skill management, knowledge capture, version control, and collaborative workflows.

delphine-l
delphine-l
162

galaxy-workflow-viz

Generate Galaxy-branded workflow visualization SVGs for IWC workflows. Creates static diagrams matching Galaxy's workflow editor style with bezier connections, node cards, and proper terminal positioning. Use when creating visual diagrams for workflows in this repository.

delphine-l
delphine-l
162

galaxy-workflow-development

Expert in Galaxy workflow development, testing, and IWC best practices. Create, validate, and optimize .ga workflows following Intergalactic Workflow Commission standards.

delphine-l
delphine-l
162

galaxy-training-material

Expert in Galaxy Training Network (GTN) tutorial development. GTN markdown syntax, special boxes, tool references, snippets, YAML front matter, and best practices for writing and updating training materials in the galaxyproject/training-material repository.

delphine-l
delphine-l
162

galaxy-tool-wrapping

Expert in Galaxy tool wrapper development, XML schemas, Planemo testing, and best practices for creating Galaxy tools

delphine-l
delphine-l
162

galaxy-automation

BioBlend and Planemo expertise for Galaxy workflow automation. Galaxy API usage, workflow invocation, status checking, error handling, batch processing, and dataset management. Essential for any Galaxy automation project.

delphine-l
delphine-l
162

gget

Fast CLI/Python queries to 20+ bioinformatics databases. Gene info, BLAST, AlphaFold structures, enrichment analysis, single-cell data, disease associations. Best for interactive exploration and quick lookups. For batch/multi-database Python workflows use bioservices.

delphine-l
delphine-l
162

bioservices

Unified Python interface to 40+ bioinformatics services (UniProt, KEGG, ChEMBL, Reactome, PSICQUIC). Best for cross-database analysis, ID mapping, and multi-service workflows. For quick single-database lookups use gget.

delphine-l
delphine-l
162

project-sharing

Prepare organized packages of project files for sharing at different levels - from summary PDFs to fully reproducible archives. Creates copies with cleaned notebooks, documentation, and appropriate file selection. After creating sharing package, all work continues in the main project directory.

delphine-l
delphine-l
162

hackmd

HackMD collaborative markdown - slide presentations, embedded SVG diagrams, and real-time editing best practices

delphine-l
delphine-l
162

verification-before-completion

Enforces evidence-based completion claims. Use before claiming work is done, tests pass, or bugs are fixed. Requires running verification commands and confirming output before any success claims.

delphine-l
delphine-l
162

data-visualization

Best practices for creating clear, accurate scientific visualizations with matplotlib, seaborn, and other Python plotting libraries. Covers common pitfalls, optimization techniques, publication-quality figure generation, and Claude API image size constraints.

delphine-l
delphine-l
162

data-analysis-patterns

Best practices for data aggregation, recalculation, and category management in scientific analyses. Covers when to recalculate vs reuse aggregated data, handling category changes, and ensuring analytical accuracy.

delphine-l
delphine-l
162

gnomad-database

Query gnomAD (Genome Aggregation Database) for population allele frequencies, variant constraint scores (pLI, LOEUF), and loss-of-function intolerance via GraphQL API. Essential for variant pathogenicity interpretation, rare disease genetics, and identifying loss-of-function intolerant genes.

delphine-l
delphine-l
162

token-efficiency

Token optimization best practices for cost-effective Claude Code usage. Automatically applies efficient file reading, command execution, and output handling strategies. Includes model selection guidance (Opus for learning, Sonnet for development/debugging). Prefers bash commands over reading files.

delphine-l
delphine-l
162

systematic-debugging

Structured 4-phase debugging methodology. Use when encountering any bug, test failure, unexpected behavior, or pipeline error — before proposing fixes. Enforces root cause investigation first.

delphine-l
delphine-l
162

documentation

Best practices for session documentation - incremental summaries, fix reports, and audit trails

delphine-l
delphine-l
162

command-discipline

Run shell commands bare — no decorative echo headers ("=== X ==="), no echo-then-cmd chains, no trailing "echo done". Use the Bash tool's description field for any narration. Triggers any time you're about to issue a Bash command.

delphine-l
delphine-l
162

bioinformatics-visualization

Publication-quality bioinformatics figures - phylogenetic trees, genome browsers, iTOL datasets, and data presentation

delphine-l
delphine-l
162

phylogenetics

Phylogenetic tree analysis, visualization, annotation management, and iTOL troubleshooting

delphine-l
delphine-l
162

scientific-publication

Best practices for iterative refinement of publication-quality scientific figures. Covers systematic improvement workflows, layout optimization, and ensuring all figure elements are publication-ready.

delphine-l
delphine-l
162

managing-environments

Best practices for managing development environments including Python venv and conda. Always check environment status before installations and confirm with user before proceeding.

delphine-l
delphine-l
162

folder-organization

Best practices for organizing project folders, file naming conventions, and directory structure standards for research and development projects

delphine-l
delphine-l
162

data-backup

Smart automated backup system with skill integration. Detects project type (notebooks, data files, HackMD docs) and applies appropriate cleanup before backup. Rolling daily backups, compressed milestones, and CHANGELOG tracking.

delphine-l
delphine-l
162

conda-recipe

Expert in building and testing conda/bioconda recipes, including recipe creation, linting, dependency management, and debugging common build errors

delphine-l
delphine-l
162

workflow-maintenance-log

Maintain per-workflow developer logs in Obsidian when working on Galaxy workflows. Use whenever creating, version-bumping, fixing, or updating an IWC/Galaxy `.ga` workflow or its `-tests.yml`. Logs detailed changes, test YAML edits, and `planemo` invocation history so the correct planemo command (full `planemo test` vs fast `workflow_test_on_invocation`) is obvious without guessing. Triggers on any session that edits `.ga`, edits `-tests.yml`, runs `planemo test`/`planemo workflow_test_on_invocation`, or prepares an IWC PR.

delphine-l
delphine-l
162

documentation-organization

Organize research project documentation - structure working files, prepare sharing packages, maintain clean project layout

delphine-l
delphine-l
162

vgp-pipeline

VGP assembly pipeline - Galaxy workflow selection, execution patterns, QC checkpoints, and batch orchestration

delphine-l
delphine-l
162

obsidian

Integration with Obsidian vault for managing notes, tasks, and knowledge when working with Claude. Supports adding notes, creating tasks, and organizing project documentation. Updated with 2025-2026 best practices including MOCs, properties, practical organization patterns, and Obsidian CLI (1.12+).

delphine-l
delphine-l
162

genomeark-aws

Access and navigate GenomeArk AWS S3 bucket - VGP assemblies, QC data, and species directory structure

delphine-l
delphine-l
162

context7-auto-research

Automatically fetches up-to-date documentation from Context7 when users ask about libraries, frameworks, APIs, or need code examples. Triggers proactively without explicit user request.

benedictking
benedictking
162

wechat-content-skill

公众号内容创作助手 - 帮助高效采集素材、筛选选题、创作优质文章

cheemao
cheemao
165

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.