One shared project for a team's coding agents: decisions, a task board and handoffs.

Optimize web performance for faster loading and better user experience. Use when asked to "speed up my site", "optimize performance", "reduce load time", "fix slow loading", "improve page speed", or "performance audit".

Forge quality gates for DeepSeek Harness (dsh): task gates, read-before-edit, bash hazard interception and quality scoring, driven by the forge CLI through DSH's typed interception points.

dsh plugin: register locally-defined custom agents (~/.dsh/agents/*.md) as callable subagents via the use_agent tool, with continuable background dispatch and ask_agent follow-ups

A reliable coding agent for complex software engineering tasks.

Write a PRODUCT.md spec for a significant user-facing feature in Warp, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambi

Write a TECH.md spec for a significant Warp feature after researching the current codebase and implementation constraints. Use when the user asks for a technical spec, implementation plan, or architecture doc tied to a product spec.

Diagnose CI failures for a PR using the GitHub CLI, extract error logs, and generate a plan to fix them. Use when the user asks to check CI status, pull CI issues, triage test failures, or investigate PR build failures.

Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.

Claude Code skill for handling long-context tasks through recursive decomposition

Say goodbye to copy-pasting and DSH Token anxiety. Let ChatGPT on the web connect directly to your local project, code on its own, and hand complex tasks to DSH for sustained execution.

会话管理菜单、归档管理、轮次级删除、重新生成、记忆管理、任务管理、话题导航。Conversation management menu, archive management, round-level deletion, regeneration, memory management, task management, topic navigation.

Run a model-diverse subagent council to investigate the same problem from multiple perspectives, compare findings, and produce a final recommendation. Use this skill whenever the user asks for a council, second opinions, multiple agents/models to evaluate one question, parallel investigation, red-te

Find Reddit threads where people are genuinely asking for what you offer, then draft short, genuinely helpful replies — disclosing your affiliation honestly and naming your product only when it truly answers the question. Two moves: discovery — scan the right subreddits for real needs (recommendatio

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

Kimi for Claude Code and Codex: code questions, independent reviews, bounded fixes, autonomous goals, parallel tasks, and MCP tools through your local Kimi Code CLI. Available through GitHub marketplaces and npm.

Whale girl desktop pet for DeepSeek Harness: browser floating mascot + Windows desktop pet, balance watching, task notices, 19 voiced lines with per-line emotion, head-pat interaction and presence-aware idle speech.

Claude-Code-style dynamic workflows for Pi — fan a task out across 100s of subagents with real model routing, token/cost accounting, resume, git-worktree isolation, an interactive /workflows TUI, and a real /deep-research.

Achieve extraordinary results with claude code across a variety of tasks

Telegram messenger bridge for DeepSeek Harness: sessions, steer, homes, inline asks, notify bridge, and optional TTS voice notes.

Legacy: build a Bazel iOS app with `lim xcode rbe` on a dedicated Xcode sandbox and install it on a remote iOS simulator attached to that sandbox. Use only when the workspace already runs on `lim xcode rbe` (its `.limrun/` came from `lim xcode rbe`) or the user explicitly asks for it, or when a `lim

Run Maestro YAML flows against a Limrun cloud iOS simulator with `lim ios maestro`, from any environment (Linux, Windows, macOS, VM, container). Use when the user wants to run, write, or debug Maestro flows or `maestro test` on iOS, migrate an existing Maestro suite to remote simulators, or asks for

Run Codex and Cursor as background workers inside Claude Code. Reviews, tasks, and rescues with tracked jobs, live progress, and session handoffs.

Open-source MCP server for comparing products and asking the buyer before purchase.