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Agent-friendly CLI for SlimWiki — auth, search, and create wiki pages from JSON.

CLI tool for agents to discover and explore agent-data marketplace APIs

Axios retry++ primitives for resilient AI and backend systems.

pi / senpi extension: structural code search (ast-grep), LSP intelligence (gopls/tsserver/marksman), bounded file/web primitives, and a local-LLM result summarizer (0GM).

A multi-repos dev tool based on yarn and git.Rigjs is intended to be the simplest way to develop,share and deliver codes between different developers or different projects.

Content-blind related-file ranking from Git co-change history

Agents should invoke this skill for Tauri + Django + React desktop apps, especially backend lifecycle, CORS/auth, frontend integration, build packaging, dual desktop/web deployment, Rust commands, and platform-specific gotchas.

Local OpenAI-compatible proxy that routes Cursor (or any OpenAI-API client) through the Codex CLI's ChatGPT-subscription auth — use your ChatGPT Pro/Plus plan instead of paying for separate OpenAI API credits.

ACP to OpenAI protocol conversion gateway - expose ACP agents as OpenAI-compatible API endpoints

Sonetto unified entrypoint

Open-source community CLI for Antigravity - supports custom AI models (OpenAI, Anthropic, Ollama, OpenRouter, Google AI Studio) alongside Gemini

Content-only Claude Code plugin shipping the canonical aweb agent-coordination skills: aweb-coordination, aweb-messaging, aweb-team-membership, aweb-bootstrap, aweb-identity.

CLI to install/list/search/update/remove skills from the TSS skill registry.

Codex harness engineering docs and installable agent skills.

Agents should invoke this skill for broad multi-claim research projects needing planning, parallel investigation, source merging, gap closure, citation audit, and final synthesis when narrower research skills are insufficient.

Agents should invoke this skill before modifying unfamiliar codebases, answering where/how something is implemented, tracing dependencies, mapping repo structure, or planning changes. Explores a repository and returns a strict JSON handoff with key files,

Agents should invoke this skill for high-stakes or complex research needing multi-source evidence, scientific/technical fact-checking, decision traces, or rigorous verification. Runs deterministic two-phase research with schema/policy validation.

Anthropic SDK instrumentation with OTel GenAI semantic conventions

Provider-agnostic LLM agent framework. One LLMProvider interface, two adapters (Anthropic + OpenAI-compatible), tool loop, router/specialist orchestration, streaming, confirmation gate, typed errors, retry, channels. Zero runtime dependencies.

Agents should invoke this skill when comparing competing products, services, libraries, tools, vendors, or approaches for market/product positioning, feature matrices, strategic trade-offs, pricing, adoption, or differentiation.