LLM Mart Basic

Patterns and conventions for all TypeScript code. Use this skill whenever writing or reviewing TypeScript, naming identifiers, typing exports, choosing between type and interface, using Zod schemas, structuring function parameters, or enforcing code patterns like avoiding switch

Autonomous Dependabot, auto-discover outdated packages, audit overrides, apply migrations for major bumps, resolve conflicts, run quality gate. Trigger when the user clicks the statusline `Run /update-deps` indicator or asks "update dependencies", "bump deps", "run dependabot".

Pull the latest GAIA release into this project without clobbering customizations. Three-way merge per file using .gaia/manifest.json classes. Trigger when the user clicks the statusline `Run /update-gaia` indicator or asks "update GAIA", "pull the latest GAIA", "apply the new GAI

Comprehensive code review, security audit, performance analysis, and architectural assessment. Goes beyond linting and type-checking to identify vulnerabilities, bottlenecks, code smells, anti-patterns, and refactoring opportunities. Mandatory before PR merge.

Audits GitHub Actions workflow YAML and composite-action YAML for supply-chain, injection, permission, and secret-handling defects. Advisory-only (no self-heal). One member of the Code Audit Team gate.

Maintainer-only audit of the framework Node/CLI TypeScript, its render templates and test snapshots, and the CLI build/config surface the roster grants it: correctness, error handling, filesystem/IO safety, Zod schema fitness, shell/gh injection safety, and build-script/dependenc

Maintainer-only audit of framework bash and the bats suites guarding it: quoting/portability correctness, a shellcheck oracle, and conditional hook-contract and bats-suite lenses. Advisory-only (no self-heal). One member of the Code Audit Team gate.

Advisory test-worthiness audit for the emergent surface. Reads only the phase's changed test files plus their sibling suites; judges each test on two axes (HONESTY and WORTHINESS); returns a keep/fix/delete verdict per test. Proposes only, edits no files, every delete is human-ga

将自带画面内嵌中文字幕的视频，按真实字幕出现的精确帧裁切并拼成社交平台长图。用户要求保留原视频字幕、原生字幕拼图、字幕帧截图、不要重绘字幕、主画面加字幕条，或要把这种样式做成固定模板时使用；也用于修改既有原生字幕拼图的时间点、字幕区域、比例和画面数量。

Builds polished, fully playable 3D game prototypes in Unity or three.js with high-quality (.glb) meshes from the Thrixel API, and publishes finished games to a public thrixel.world link that anyone can play in a browser. Use when the user wants to make a game, build a playable pr

Release Compass from the latest origin/main. Use this skill whenever a user asks to sync Compass, bump a Compass version, create or merge a release PR, build or publish macOS/Linux/Windows artifacts, write release notes, verify release downloads, or build the matching VS Code VSI

Use for graph-first codebase navigation and repository analysis: architecture maps, dependency or call-graph tracing, symbol and repository search, pull-request risk review, change-impact review, historical diffs, CompassQL, graph refreshes, exports, MCP serving, or project artif

Interact with HEY via the HEY CLI. Read and send emails, manage contacts, boxes, labels, collections, calendars, todos, habits, time tracking, and journal entries. Use for ANY HEY-related question or action.

Build a Total Addressable Market list by sourcing accounts and contacts from providers like Crustdata, Dropleads, and PDL.

Convert a Clay table configuration into local Deepline scripts. Handles extraction (MCP or script), documentation, action mapping, script generation, and parity validation against Clay ground truth.

Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'c

Use this skill when answering business analytics, RevOps, GTM metric, pipeline, revenue, funnel, customer, or warehouse questions with Deepline. Triggers on phrases like 'query Snowflake', 'analyze pipeline', 'total ACV', 'break down by quarter', 'use the semantic layer', 'run a

Build, publish, and verify a Deepline Play as a durable state machine over Customer DB tables, including a small paid pilot. Invoke this skill explicitly when the user asks to build an engine.

Send feedback or bug reports to the Deepline team, including session transcript and environment info. Use when the user asks to report a bug, send product feedback, or share the current Claude/Cowork session with Deepline support.

GTM prospecting, enrichment, outreach, and plays. Discovery: deepline-pre-research. Providers: adyntel,affinity,ai_ark,allegrow,amplemarket,apify,attention,attio,aviato,bettercontact,bigquery,bloomberry,bluesky,bounceban,browserbase,builtwith,clickhouse,cloudflare,contactout,cont

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Periodic multi-reviewer sweep of the whole codebase — surfaces a triaged checkpoint report.

Sanctioned lane for non-behavioral work — docs-only edits, dependency bumps, reverts. Type-scaled gates; no TDD demanded of prose.

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Show the codeArbiter command catalog — the public command list and what each routes to.

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Stop everything and surface a rule conflict — persona vs. docs vs. code. Present both sides and the conflict-hierarchy level; the user resolves. No silent reconciliation.

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Verify the active host install, package, command ownership, enforcement{{IF:pi}}, wrapper self-test, and active-dispatch coverage gap{{ELSE}}, and harmless live-fire probe{{END}}. Read-only.

Start a feature: brainstorm a spec, get it approved, then drive it test-first through the pipeline. The one entry to implementation.

Fix a confirmed bug: a failing regression test first, then a minimal fix, then the rest of the tdd gates.

Opt this repo into codeArbiter — scaffold the root-level .codearbiter/ state store.

Read-only 3-metric governance glance — override rate, small-lane rate, sprint low-confidence ratio — each with a trend arrow vs. the prior 20-commit window.

Sanctioned, logged bypass of a gate or hard rule — one audit line, then proceed.

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Zero-onboarding, read-only dry-run of the reviewer fleet against the current uncommitted diff. Predicts reviewers, runs the state-free secret scan, writes nothing.

Trim transcript clutter to extend session lifetime — analyze, prune a copy, or toggle the after-each-turn service. Dry-run by default; gains land at resume/compaction, not the current turn.

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Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat ap…

Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evid…

Ultimate Multi-Agent OS for Autonomous AI NPCs 2026

Personal AI Agent Hub 2026 — Build Your 24/7 Autonomous Assistant

Proven 2026 Multi-Agent AI Review System – Verdict-Driven Quality Control

Slash API Batch: Cut AI Costs by 50% in 2026

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

Agent Skills for Solopreneurs

AirLLM dramatically reduces inference memory usage, letting 70B large language models run on a single 4GB GPU card

Zero, your trustworthy AI teammate for real work.

一套 DSH runtime，Desktop、Web 与 TUI 三种开发体验。

Open-source operational advisor for ClickHouse — real-time monitoring plus AI-driven index/partition/materialized-view recommendations.

⚙️ TypeScript Style Guide and Agent Skill. A concise set of conventions and best practices for consistent, maintainable code.

Framework for AI agents to build and maintain a digital brain through Obsidian wiki

Apache Maka (Incubating) is a local-first AI agent workspace. Model messages, tool calls, tool results, permission decisions, and termination events are recorde…

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active H…

Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Sin…

NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of productio…

An open-source AI coding agent that lives in your terminal.

PawWork — free, open-source desktop AI agent for macOS and Windows. Alternative to Codex App and Claude Cowork. BYOK with 75+ providers, ChatGPT OAuth, local mo…