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Agent Skills

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start-milestone

Transitions a GitHub milestone from planning to active execution. Use when the team is ready to begin a sprint or release cycle — bulk-transitions open issue labels from status:needs-grooming to status:in-progress, updates GitHub Projects V2 Status to In Progress, and confirms before applying changes. Requires milestone number as argument. Use after /group-items-to-milestone.

Jamie-BitFlight
Jamie-BitFlight
6110

swarm-from-markdown

Parse a markdown file's unchecked checkbox items (- [ ]) and generate a self-organizing Claude Code swarm task pool. Use when you have a todo.md, checklist.md, or any markdown file with checkbox items and want to dispatch them as parallel swarm tasks using TeamCreate + TaskCreate + worker agents. Skips checked items (- [x] / - [X]) automatically.

Jamie-BitFlight
Jamie-BitFlight
6110

swarm-operations

API reference for Claude Code multi-agent swarm tools -- TeamCreate, SendMessage, TeamDelete, TaskCreate/Update/List/Get, and Agent tool parameters. Use when looking up tool signatures, message schemas, shutdown sequences, error handling patterns, or debugging swarm operations. Covers direct messages, broadcasts, plan approval flows, graceful shutdown sequences, crashed teammate recovery, and common error causes.

Jamie-BitFlight
Jamie-BitFlight
6110

swarm-patterns

Recipes and patterns for Claude Code multi-agent swarms. Use when building parallel specialist reviews, pipeline workflows, self-organizing swarms, research-then-implement flows, plan approval gates, coordinated multi-file refactoring, or any divide-and-conquer orchestration pattern requiring TeamCreate, TaskCreate, SendMessage, or Agent tool coordination.

Jamie-BitFlight
Jamie-BitFlight
6110

swarm-primitives

Conceptual foundation for Claude Code multi-agent orchestration -- defines teams, teammates, leaders, tasks, inboxes, messages, and backends and shows how they connect. Use when starting to build a swarm workflow, understanding the swarm lifecycle and file layout, reading team config structure, or learning the task dependency system before writing TeamCreate or Agent tool calls.

Jamie-BitFlight
Jamie-BitFlight
6110

swarm-spawning

Covers how to create agents in Claude Code swarms -- subagents vs teammates, built-in agent type catalog (Bash, Explore, Plan, general-purpose, claude-code-guide), plugin agent types from compound-engineering, spawn backend selection (in-process, tmux, iterm2) with auto-detection logic, and environment variables injected into spawned agents. Use when choosing how to spawn an agent, selecting the right agent type, configuring or troubleshooting spawn backends, or passing env vars to teammates.

Jamie-BitFlight
Jamie-BitFlight
6110

transcript-analysis

This skill should be used when analyzing Claude Code session transcripts, reviewing agent performance, finding anti-patterns or tool misuse, detecting user frustration signals, mining workflow patterns, running kaizen analysis, debugging agent behavior, or performing session forensics. Provides JSONL schema (kaizen-analysis get_transcript_jsonl_schema or MCP resource kaizen://session-log/schema or references/jsonl-schema.md), arbitrary DuckDB SQL over JSONL via kaizen-duckdb execute_query, cookbook query patterns, 10 analysis dimensions, and PM4Py process mining methodology.

Jamie-BitFlight
Jamie-BitFlight
6110

universe-of-thoughts

Creative reasoning framework for ill-defined problems where conventional solutions are suboptimal. Use when the problem has ambiguous goals, vast solution space, no single correct answer, or requires innovation. Implements three paradigms — combinational (novel combinations of familiar ideas), exploratory (expand solution space boundaries), transformative (alter fundamental constraints). Do not use for well-defined problems, mathematical puzzles, or tasks requiring convergent reasoning.

Jamie-BitFlight
Jamie-BitFlight
6110

workshop-question-framing

Use this skill when reviewing, designing, or improving a workshop, lesson, training session, facilitation plan, talk, or educational explanation. Use it when the user provides a topic, concept, or explanation and wants better framing questions, curiosity hooks, opening prompts, discussion questions, learner reflection prompts, or ways to make participants think before being taught.

Jamie-BitFlight
Jamie-BitFlight
6110

swift-development

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hmohamed01
hmohamed01
616

beautiful-prose

A hard-edged writing style contract for timeless, forceful English prose without modern AI tics. Use when users ask for prose or rewrites that must be clean, exact, concrete, and free of AI cadence, filler, or therapeutic tone.

shadowpr0
shadowpr0
604

action-queue

Sims-inspired task scheduling — queue actions, execute in order

simhacker
simhacker
605

adventure

Room-based exploration with narrative evidence collection

simhacker
simhacker
605

adversarial-committee

Committee of personas with opposing propensities forcing genuine debate

simhacker
simhacker
605

advertisement

Objects announce what they can do — The Sims style

simhacker
simhacker
605

bartender

Generic bartending capabilities — pour drinks, manage tabs, know regulars

simhacker
simhacker
605

bootstrap

Wake up, orient, and warm the context with foundational MOOLLM knowledge

simhacker
simhacker
605

budtender

Cannabis-specialized bartender — strains, terpenes, edibles, rolling

simhacker
simhacker
605

buff

Temporary effects system — curses are just shitty buffs

simhacker
simhacker
605

card

Portable tokens of capability, identity, and access

simhacker
simhacker
605

cat

Feline interactions, buffs, and relationship building

simhacker
simhacker
605

character

Core patterns for all characters — home, location, relationships, inventory

simhacker
simhacker
605

code-review

Systematic code analysis with evidence collection

simhacker
simhacker
605

coherence-engine

The LLM as consistency maintainer and orchestrator

simhacker
simhacker
605

constructionism

Educational philosophy — learn by building inspectable things

simhacker
simhacker
605

container

Intermediate scope for inheritance — like OpenLaszlo's <node>

simhacker
simhacker
605

context

Runtime context passed to compiled closures — the world as seen from inside

simhacker
simhacker
605

data-flow

Rooms as pipeline nodes, exits as edges, objects as messages

simhacker
simhacker
605

datasette

Datasette — serve SQLite over HTTP with metadata YAML, JSON API, plugins; MOOLLM path from cursor-mirror export.

simhacker
simhacker
605

debate

Structured multi-perspective deliberation through adversarial dialogue

simhacker
simhacker
605

debugging

Systematic bug investigation with hypothesis tracking

simhacker
simhacker
605

dog

Canine interactions, loyalty mechanics, and pack dynamics

simhacker
simhacker
605

economy

Currency and trade — gold flows where stories lead

simhacker
simhacker
605

empathic-expressions

Intent-based code interpretation across all languages — SQL, Python, JS, YAML, Bash, and beyond

simhacker
simhacker
605

empathic-templates

Smart templates that understand semantic intent, not just string substitution

simhacker
simhacker
605

evaluator

Independent assessment without debate context — adversarial loop prevents gaming

simhacker
simhacker
605

exit

Navigation links between rooms — the edges of the memory palace

simhacker
simhacker
605

format-design

How to design formats that succeed — simplicity, community, timing

simhacker
simhacker
605

goal

Quest objectives that drive narrative — the WANTS of adventure

simhacker
simhacker
605

hero-story

Safe referencing of real people's traditions without impersonation

simhacker
simhacker
605

honest-forget

Graceful memory compression with integrity — summarize before forgetting, never fabricate

simhacker
simhacker
605

image-mining

I mine pixels for atoms. Reality is just compressed resources.

simhacker
simhacker
605

incarnation

Full character autonomy across all layers of existence

simhacker
simhacker
605

inventory

You carry pointers. When you set them down, they become real.

simhacker
simhacker
605

knowledge-frames

Minsky frames, Drescher schemas, interchange registry, and MOOLLM K-lines — distinct layers.

simhacker
simhacker
605

leela-ai

Manufacturing Intelligence — Leela AI develops MOOLLM for practical use and industrial exploration

simhacker
simhacker
605

logistic-container

Factorio-style logistics — items flow automatically between containers

simhacker
simhacker
605

manufacturing-intelligence

The slogan unpacked — seven readings of 'Manufacturing Intelligence'

simhacker
simhacker
605

markdown

Plain text formatting that's readable raw AND rendered

simhacker
simhacker
605

memory-palace

Spatial organization of knowledge in navigable directories

simhacker
simhacker
605

Page 687 of 1685 · 84231 results

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.