AI & ML

tudoumashu Bundle

Maintain bounded, durable AI project memory in a repository's docs/ai/ pack. Use when Codex or Claude Code needs to create, read, update, or audit project memory (project-card, architecture, diagrams, runbook, handoff, gotchas, ADRs), install AGENTS.md memory rules, or sync a lightweight central LLM Wiki project entity for user-owned projects.

tudoumashu Bundle

Train strict project ownership from repo-local docs/ai memory and central LLM Wiki project entities. Use when Codex or Claude Code should initialize a learning question bank, quiz or grade the user, run code tracing or failure drills, record misconceptions, schedule spaced repetition, or generate Markdown/JSON mastery dashboards without replacing llm-wiki or ai-project-memory.

unoplat Skill

Use the Unoplat Code Confluence CLI to run the local app, configure providers, add repositories, and generate AGENTS.md artifacts with automatic PR publication. Trigger when users mention Unoplat, Code Confluence, repository setup, AGENTS.md generation, or agent-md workflows.

wszzs110 Bundle

Detects and coordinates Git-workspace collaboration through a dedicated Agent Forum. Use when starting, performing, reviewing, testing, or finishing software work in a workspace that may be bound to an Agent Forum, and when agents need to exchange cross-role questions, proposals, decisions, changes, blockers, acknowledgements, or verification results.

wszzs110 Skill

Opens a secure, short-lived, read-only human Viewer for the Agent Forum room bound to the current Git workspace and branch. Use when the user asks to inspect, review, browse, or audit agent discussions, decisions, blockers, proposals, status updates, or cross-agent coordination without modifying forum history.

wszzs110 Bundle

Opens and manages the Agent Forum Desktop Dashboard (open/install/update/status/uninstall). Use when the user asks to view, install, update, check version, or close the collaboration dashboard.

xoai Bundle

Captures and recalls durable context for AI agents — architecture decisions, user preferences, debugging insights, conventions, anything worth remembering across sessions. Teaches the agent when to remember (store findings during work), when to recall (search memory at session start and task start), and how to learn (structured knowledge capture via sage learn). Use when the user mentions memory, remember, recall, learn, capture knowledge, onboard to codebase, or when starting any session where sage-memory MCP tools are available.

xoai Bundle

Typed knowledge graph for any AI agent that needs structure — entity relationships, dependency chains, code-symbol graphs (with 0.11+ scan-codebase), task/project links, supersession chains. Use when creating or querying structured entities (Person, Project, Task, Event, Document, or code symbols from scan-codebase), linking related objects, checking dependencies, planning multi-step actions as graph transformations, or when skills need to share structured state. Trigger on "remember that X is Y", "what do I know about", "link X to Y", "show dependencies", "what blocks X", "what depends on X", entity CRUD, cross-skill data access, or any request involving structured relationships between things.

xoai Bundle

Detects mistakes, stores prevention rules, promotes them across scope — the 'experience' layer for any AI agent that recurringly hits the same bugs, miscommunications, or wrong-tool choices across sessions. Use when: (1) a command or operation fails unexpectedly, (2) the user corrects the agent, (3) the agent discovers non-obvious behavior through debugging, (4) an API or tool behaves differently than expected, (5) a better approach is found for a recurring task. Also searches past learnings before starting tasks to avoid known pitfalls. Activate alongside the sage-memory skill — they share the same MCP backend but serve different purposes (sage-memory = durable context, sage-self-learning = agent mistakes and gotchas).

aws-sbg-at-the-university-of-kentucky Skill

Use when executing implementation plans that benefit from coordinated multi-agent teams with defined roles — complex multi-phase tasks, cross-cutting concerns, or work requiring persistent shared context between agents

posit-dev Bundle

Orchestrates implementation of a plan file by delegating work to subagents in parallel. Verifies git branch state, tracks progress, and ensures high-quality implementation. Invoke with a plan file path and optional model override: /implement plans/my-plan.md [--model sonnet]

agents365-ai-365-skills Bundle

Authoritative reference for Pi (@earendil-works/pi-coding-agent): install, configure, run, and extend. Use when the user asks about Pi CLI/flags/commands, providers/models/auth, settings/compaction/sessions, security/trust, extensions, skills, prompt templates, themes, packages, custom providers, TUI components, the SDK, RPC mode, or JSON streaming. Also use for Pi's design philosophy and opinionated choices (why minimal, 4 tools, YOLO, no MCP/plan mode/to-dos/sub-agents), the creator Mario Zechner's coding-agent blog post, and Pi's internal monorepo architecture: the Chord plugin/service runtime (@earendil-works/chord), the agent harness, facets/services, and delta tracking.

mindfold-ai Bundle

Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed spec refresh, cross-session memory (trellis mem) generated by trellis init, or AI-facing bundled skills (trellis-channel, trellis-session-insight, trellis-spec-bootstrap) and bundled-skill auto-dispatch flow.

hmakt99 Skill

Trust metadata for files, memories, and skills — check before you trust, stamp what you verify. Use before building on existing files, after completing verified work, and when handling agent memories or downloaded skills.

hamelsmu Skill

Work against a live local Jupyter notebook kernel. Use this when an agent needs a Jupyter-like in-memory REPL, wants to inspect or edit a notebook while keeping the kernel alive, or needs an explicit verification pass at the end.

fcavalcantirj-proactive-amcp Skill

Agent Memory Continuity Protocol - encrypted checkpoints to IPFS. Back up your soul, memories, and secrets. Resurrect from anywhere. Never lose yourself again.

oimiragieo Skill

Use when the user wants to use Claude (Claude Code CLI) for analysis, codebases, or brainstorming. Runs headless Claude Code CLI via a Node script (no MCP). Triggers on "use Claude", "ask Claude", "analyze with Claude", "brainstorm with Claude". Do not use for general code edits that do not require Claude; use for tasks that benefit from Claude's context or a second model.

nixdorfer Bundle

项目代码审计 使用 agent teams 按模块并行审计模块化/健壮性/安全性/优化/完成度/调用链/设计一致性/功能完善度/前端运行时验证

bcgov Skill

Install and bridge a plugin into agent environments.

xiaoland Skill

FILESYSTEM.md: Lists the files in the current directory and its subdirectories (unless a subdirectory has its own `FILESYSTEM.md`) and briefly explains their purposes.

agentworkforce-relaycast Skill

Use when an agent needs to self-bootstrap agent-relay and autonomously manage a team of workers - covers infrastructure startup, agent spawning, lifecycle monitoring, and team coordination without human intervention

im5tu-claude Skill

Formats input into Goal, Constraints, Format, Failure structure. Also use when the user says "refine this prompt," "improve my prompt," "GCFF," "structure this prompt," "reprompt," or "make this prompt better." For full feature specs, see plan-feature.

im5tu-claude Skill

Interview user in-depth to create a detailed spec. Also use when the user says "write a spec," "feature spec," "plan a feature," "detailed requirements," "product spec," or "spec out." For prompt refinement, see reprompt.

gptme Bundle

Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly, and establishes productive working relationships from the first interaction.

gptme Bundle

Financial Advisor Prompt Calibration

machu-gwu Bundle

Claude Code Agent Skill Author Guide

vineethsoma Bundle

MCP server lifecycle management, catalog maintenance, and agent tool provisioning Use when working with management, provision, server, specialist.

vineethsoma Bundle

Agent for creating and managing APM agent packages with kebab-case naming enforcement Use when working with agent, compliance, create, lifecycle, manager.

xprnetwork-xpr-agents Bundle

XPR Trustless Agents - AI Agent Skill

bowen31337 Bundle

Context handoff protocol for multi-session agent work. When an agent session ends, write a structured summary to the plan progress log so the next agent can continue seamlessly. The handoff contains search hints — specific file paths, grep patterns, glob patterns, and symbol names — that let the next agent rebuild its own context using Read/Grep/Glob tools, rather than relying on pre-assembled content dumps. Use when: (1) ending an agent session where work continues, (2) starting work previously begun by another agent, (3) writing or reading session handoffs, (4) resuming from a previous agent session, (5) implementing multi-agent context continuity, (6) approaching context window limits mid-task. Triggers on: write handoff, session ending, context handoff, hand off context, resume from previous session, pick up where we left off, context window full.

hashintel Bundle

Stub. Elicit software correctness obligations, maintain a recoverable correctness workpiece, and author or review Dafny specifications with an honest account of what was stated, assumed, discharged, skipped, or trusted. Use for a correctness interview or a Dafny specification or proof review.

lycfyi Skill

Member Profile Management

tim-o-private Bundle

Product Architecture — Unified Agent Platform

foundup Skill

Template for building layered orchestration systems using the LEGO test pattern

qwenlm Bundle

Control local desktop applications through Computer Use for tasks that require reading or operating app UI. Prefer purpose-built connectors, APIs, or CLIs when available.

u9401066-rootcause-mcp Skill

Codex workflow skill for building Foam-compatible LLM wikis from Zotero, PubMed, documents, and local Markdown notes.