AI Agent2025
Defines a predictable repository-level instruction file for coding agents, giving teams one place to document workflow rules instead of each tool inventing its own context format.
AI Agent2025
Converts your goals and context into verifiable agent workflows that hill-climb your Current State → Ideal State across life and work. Bundles an ISA-based criteria system, persistent memory and a Pulse dashboard into a single AI-native skill designed to run inside an AI coding harness.
AI Agent2025
Open-source companion to a technical book that teaches how to design, evaluate and ship LLM-based AI agents — includes the full Chinese manuscript, community translations, chapter-aligned runnable example projects, and reproducible evaluation harnesses.
AI Client2025
Enhances web AI chat interfaces (Gemini, AI Studio, Claude, ChatGPT) with folder-based conversation organization, timeline navigation, prompt vault, cloud sync, chat export, UI fixes and a plugin engine. Runs as a browser extension and includes cross-site prompt management and Mermaid rendering.
Collects Claude Code commands, agents, skills and engineering best practices with ready CLAUDE.md templates and orchestration examples. Focuses on reusable agent workflows, hooks, and MCP integrations for productionizing Claude-based coding/automation.
AI Client2025
Drives AI coding agents through a five-phase loop — discuss, plan, execute, verify, ship — offloading heavy work to fresh-context subagents to fight context rot. The main session stays lean while parallel waves do the building.
AI Agent2026
Implements a Manus-style, file-backed planning workflow for AI agents using a three-file Markdown pattern (task_plan.md, findings.md, progress.md) to persist plans, findings and session logs—reducing context drift and enabling session recovery. Adds IDE/CLI hooks to re-read plans and verify completion.
AI Agent2026
Runs an autonomous agent loop that uses AI coding tools (Amp or Claude Code) to implement PRD user stories iteratively, persisting context via git history, progress.txt and prd.json; designed for small, CI-backed tasks.
AI Agent2026
Teaches LLMs to detect and remove “AI tells” from prose using curated phrase/structure lists, before/after examples, and a 5‑dimension scoring rubric. Delivered as a reusable skill (SKILL.md + reference files) designed to plug into Claude or any LLM workflow for automated style sanitization.
AI Agent2026
Provides a modular collection of marketing “skills” (CRO, copywriting, SEO, analytics, growth engineering) expressed as markdown workflows so AI agents can apply marketing frameworks. Built to plug into Agent Skills–compatible agents like Claude Code and OpenAI Codex.
AI Agent2026
Rewrites text to remove common signs of AI-generated writing and produce more natural human prose while preserving source facts. Delivered as a portable agent skill (plain SKILL.md) that runs across agent harnesses, with voice-calibration and a strict no‑fabrication rule.
A concise, four‑principle guideline (as CLAUDE.md or a Claude Code plugin) that teaches LLMs to: state assumptions, prefer simple solutions, make surgical edits, and use testable success criteria — reducing overcomplication and unwanted changes when an LLM edits code.