LLM Mart Basic

Address a document by its BLOCKS instead of reading it whole. Use for any long Markdown or documentation file — README, spec, guide, design doc, changelog — when the job is to find where something is documented, read one section, or change one section: `geml list`, `geml find` an

Address a document by its BLOCKS instead of reading it whole. Use for any long Markdown or documentation file — README, spec, guide, design doc, changelog — when the job is to find where something is documented, read one section, or change one section: `geml list`, `geml find` an

Build, view, update, and navigate a project's call graph as GEML codemap documents. Use when asked to see/update/build a project's code graph or codemap (看下/更新下 code-graph), when asked "who calls X" / "what does X call" / to trace a call chain or impact path, or whenever a .geml-

Address a document by its BLOCKS instead of reading it whole. Use for any long Markdown or documentation file — README, spec, guide, design doc, changelog — when the job is to find where something is documented, read one section, or change one section: `geml list`, `geml find` an

Build, view, update, and navigate a project's call graph as GEML codemap documents. Use when asked to see/update/build a project's code graph or codemap (看下/更新下 code-graph), when asked "who calls X" / "what does X call" / to trace a call chain or impact path, or whenever a .geml-

Address a document by its BLOCKS instead of reading it whole. Use for any long Markdown or documentation file — README, spec, guide, design doc, changelog — when the job is to find where something is documented, read one section, or change one section: `geml list`, `geml find` an

Build, view, update, and navigate a project's call graph as GEML codemap documents. Use when asked to see/update/build a project's code graph or codemap (看下/更新下 code-graph), when asked "who calls X" / "what does X call" / to trace a call chain or impact path, or whenever a .geml-

Address a document by its BLOCKS instead of reading it whole. Use for any long Markdown or documentation file — README, spec, guide, design doc, changelog — when the job is to find where something is documented, read one section, or change one section: `geml list`, `geml find` an

Build, view, update, and navigate a project's call graph as GEML codemap documents. Use when asked to see/update/build a project's code graph or codemap (看下/更新下 code-graph), when asked "who calls X" / "what does X call" / to trace a call chain or impact path, or whenever a .geml-

Memory washer/defragmenter for agent memory — two lanes: class-B (memory+governance) cleans the FAT, never the MEAT; class-A (transcripts) is byte-identity-only. Fidelity-first: a free mechanical Quick pass + a CODE gate blocking any STRUCTURED-token drop by diff; the paid Full p

Memory washer/defragmenter for agent memory — two lanes: class-B (memory+governance) cleans the FAT, never the MEAT; class-A (transcripts) is byte-identity-only. Fidelity-first: a free mechanical Quick pass + a CODE gate blocking any STRUCTURED-token drop by diff; the paid Full p

Ask which skill or flow fits your situation. A router over the skills in this repo.

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agent

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.

A relentless interview to sharpen a plan or design.

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

Compact the current conversation into a handoff document for another agent to pick up.

A green PR, a controller reporting success, and not one line of the new code running

Record the present state by mode — decision (ADR, RFC, rule), code (spec, doc, guide, scenario), or research (a ready report or one external material); a gate picks the document type.

First-time Archcore setup — wire host configs, measure the authored context, compose the full first-day seed in one preview, and create it on one confirm; import converts CLAUDE.md, AGENTS.md, rule files, ADRs, and docs into native documents; refresh adds new facts or drills into one domain.

Plan a feature or initiative through a computed route — a small fix exits with no documents, one capability gets a spec and a plan, a large initiative gets an umbrella PRD with one spec per capability; start with sdd, sources (market research), iso (regulated work), or research (technical investigation) to run that path directly.

Review branch changes against Archcore docs, or report project health; drift runs staleness detection, deep a full documentation audit, closeout closes a finished feature, experience captures a repeated pattern.

Verify that citations actually exist and that the claims they support are faithful to the cited source. Runs deterministic existence checks (Crossref / OpenAlex / Semantic Scholar / arXiv) plus a claim-faithfulness pass via the alterlab-citation-verifier skill.

Run a systematic, reproducible literature review on a topic and return an APA 7.0 annotated bibliography with a documented search strategy. Invokes the alterlab-deep-research pipeline in lit-review mode.

Run a full multi-perspective peer review of a manuscript, simulating an Editor-in-Chief plus three peer reviewers and a Devil's Advocate, and produce a structured editorial decision and revision roadmap. Invokes the alterlab-paper-reviewer skill.

Orchestrate the end-to-end academic research-to-publication workflow (research, write, integrity check, review, revise, re-review, finalize) with mandatory integrity gates and two-stage peer review. Invokes the alterlab-research-pipeline orchestrator.

Audit infra security: secrets, deps, CI/CD, webhooks, AI/skill files

Audit Solana program code for exploitable bugs and write a findings report

Compare per-instruction CU with the stored baseline to catch regressions

Build the web client (Next.js, Vite, React) and check env, types and bundle

Build Solana programs (Anchor, Pinocchio, native), incl. verifiable builds

Build the Unity project in batchmode for WebGL, desktop, Android or PSG1

Turn a solana-ai-kit fork into a project: set up CLAUDE.md, remove kit files

Un-ignore and commit the kit config dir, instruction file, .mcp.json and .gitmodules

Replay a user's failing transaction on forked state and map the error to source

Deploy a program to devnet, or to mainnet after the user's explicit go-ahead

Review the branch diff for Solana security issues, CU waste and AI slop

Read-only check of toolchain and kit config, with one fix-it command per failure

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.