Agent building

Integrates local AI capabilities into applications using Embeddable Lemonade.

Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new…

Coordinates subagent review, fixes, and verification during implementation; use when the user explicitly asks for Garfield on an active code slice, but not…

Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI.

自动化安装和更新来自 cafe3310 的所有 Agent Skills

从 Claude Code 的 Session 解析 jsonl 对话记录，接续执行任务

Recommend the right agents and skills for any task.

Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not…

Refresh RepoPrompt tool guidance when the CLI/MCP surface changes.

Author or restructure a Quark Agent Skill so it conforms to this project's template, contracts, and layer rules.

Create new skills or improve existing skills by clarifying intent, drafting SKILL.md instructions, organizing supporting resources, and doing lightweight…

Authors, improves, or migrates agent skills with the Skillet CLI; use when asked to create or write a skill, improve its instructions or evals, diagnose…

Mine Claude Code sessions — timeline, gaps, repo attribution, session history.

完整的多Agent多Skill小说改编项目。开源版运行时依赖 agents/skills/references，原始 sources 不随仓库分发。

Evaluate agent and skill behavior or routing.

Automated iterative agent runner for spec-based development in Kiro.

Evaluate any agent skill against a merged framework — Anthropic's Claude Code best practices plus Matt Pocock's writing-great-skills methodology — across 4…

Diagnose and fix broken memory search in OpenClaw.

Typed knowledge graph for structured agent memory and composable skills.

Delegate work to the TaskMarket agent-worker market - browse open tasks, create tasks with explicit authorization, and track/submit work, so an agent can…

Extract continuous X-Y data from experimental spectrum images (Raman, XRD, UV-Vis, IR, etc.) via hybrid VLM + CV pipeline and agent-in-the-loop workflow.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.

Create new skills, modify and improve existing skills, and measure skill performance.

Use when executing implementation plans with independent tasks in the current session