Tag

Planning with Files

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.

jcode

Terminal-first coding agent harness for multi-session LLM workflows, offering session memory, provider integrations, browser automation, and swarm collaboration. Tuned for low RAM and very fast startup to support many concurrent sessions.

Skills

Archive of all versions of agent 'skills' backed up from clawdhub.com — a historical snapshot that includes potentially suspicious or malicious skills; intended for analysis and research, not for running unvetted code.

UI Skills

Provides a set of versioned "skills" that codify UI design standards and automated checks for design engineers and AI agents. Includes a CLI to discover, install, and run skills like baseline UI rules, accessibility fixes, motion-performance tuning, and metadata corrections.

Ralph

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.

Headroom

Compresses any context sent to LLMs (tool outputs, DB reads, RAG results, files, logs) to cut tokens by ~70–95% while preserving reversible originals; runs as a proxy or Python/TypeScript SDK with integrations for common agent frameworks.

pi-subagents

Enables Pi to delegate tasks to focused child agents for code review, parallel audits, background jobs, and saved workflows. Supports foreground and background runs, session artifacts, worktree isolation, and built-in role agents to simplify orchestration.

Astryx

Provides a customizable React-based design system and component library designed for people and AI assistants to build together. Ships 150+ accessible components, a theme system, and a CLI; supports swizzling to eject source and className overrides so projects avoid styling lock-in.

oh-my-claudecode

Teams-first orchestration layer for Claude Code that runs, coordinates, and parallelizes multi-agent workflows from the CLI/tmux. Features team pipelines, skill extraction, provider adapters (Codex/Gemini), and realtime HUD for developer-focused automation.

Awesome Codex Skills

Modular collection of Codex 'skills' that let Codex execute real workflows (emails, issues, Slack posts, data tasks) via the Codex CLI/API. Curated, metadata-driven skill bundles enable discoverability and quick installation for automating terminal-to-app actions.

Multica

Turns coding agents into assignable teammates that pick up issues, run on local or cloud runtimes, stream progress, and convert solutions into reusable skills; vendor-neutral, self-hostable platform with a local daemon and multi-workspace board.

OpenSRE

Provides a framework to build, evaluate, and run AI SRE agents that investigate and remediate production incidents on your infrastructure. Includes a CLI, synthetic + end-to-end benchmark suites, and 40+ connectors for observability, infra, and LLM providers so teams can train agents and run investigations locally or in cloud.