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Installs and uses Antigravity CLI ASW skills, hooks, diagnostics, and swarm workflow guidance.

Remove AI-looking clutter and temporary artifacts without changing behavior.

Hypothesis-driven Antigravity Swarm debugging for crashes, hangs, wrong output, and runtime drift.

Antigravity Swarm Loop executes RED to GREEN to real-surface QA with cleanup receipts.

Antigravity Swarm Plan creates a decision-complete plan before large or ambiguous work.

Strict Antigravity implementation discipline for Python, TypeScript, JavaScript, Go, and Rust work.

Behavior-preserving Antigravity Swarm refactoring with characterization, impact mapping, diagnostics, and real-surface verification.

Antigravity Swarm review skill for diff, evidence, hook, package, docs, installer, and real-surface QA inspection.

Diagnose runtime failures with reproducible observations, competing hypotheses, runtime-aware probes, causal root-cause proof, regression tests, and real-surface verification.

Remove mechanical and AI-generated code smells from a bound diff while locking behavior, preserving intentional safeguards, and applying an evidence-based review rubric.

Design and implement polished, accessible interfaces through design-system audit, task-centered hierarchy, complete interaction states, responsive behavior, and fresh visual evidence.

Perform conservative Git status, commit, history, rebase, and recovery work with explicit mode selection, atomic scope, conflict evidence, and non-destructive recovery paths.

Build a concise hierarchical AGENTS.md knowledge base from measured repository structure, verified commands, ownership boundaries, complexity scoring, and deduplicated local guidance.

Turn ambiguous product or technical intent into a decision-complete brief through evidence-first intake, weighted ambiguity tracking, one-question rounds, challenge modes, and explicit handoff boundaries.

Activate when the user types `csw`, prefixes a task with `csw`, or asks to run the full loop; bind observable criteria and drive them through planning, test-first work, real-surface QA, review, cleanup, and machine-receipt completion.

Configure, diagnose, and prove language-server support through Copilot CLI native LSP surfaces, including root discovery, semantic operations, and graceful failure cases.

Autonomous research and experimentation toolkit with 10 commands. Core loop inspired by Karpathy's autoresearch — generalizes to any domain with mechanical evaluation, overnight persistence, and zero dependencies. TRIGGER when: user wants autonomous…

Core autonomous research loop. Reads research.md, proposes hypotheses, runs experiments, evaluates results mechanically, keeps improvements, discards failures, and iterates until the target metric is achieved or the iteration budget is exhausted. TRIGGER…

Feedback-driven self-improvement protocol for autoresearch-skill. Converts failed runs, confusing transcripts, bad outputs, or user feedback into a bounded improvement plan, an eval scenario, and a patch checklist without executing the patch automatically.…

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When the LLM (Claude, ChatGPT, Gemini, or others) needs to fill in a PDF form or programmatically process, generate, or…

Scientific bug hunting using falsifiable hypotheses. Forms hypotheses, designs falsifying tests, eliminates candidates systematically, and logs the full investigation trail in a structured debug/ folder. TRIGGER when: user has a bug to investigate…

Iterative error-crusher loop that auto-stops at 0 errors. Cascade-aware: fixes dependency errors before their dependents. Refuses anti-patterns that hide errors instead of fixing them. TRIGGER when: user has errors or failures to fix iteratively; user asks to…

7-step setup wizard that produces a complete, ready-to-run research.md without executing the research loop. Walks the user through goal, metric, search space, constraints, evaluator design, and baseline measurement, then writes the file. TRIGGER when: user…

Multi-perspective deliberation engine. Gathers independent positions from diverse personas, runs cross-examination and rebuttal rounds, detects herd behavior, and synthesizes a neutral judge verdict with confidence levels. TRIGGER when: user wants…

Multi-agent research conference that spawns parallel autoresearchers with symposium sharing, adversarial peer review, and insight synthesis. Reads a conference.md, orchestrates N researchers in structured rounds, and produces a synthesized result combining…

Core conference loop — spawns N parallel autoresearchers, runs 4-phase rounds (independent research, poster session, peer review, knowledge transfer), and produces synthesized results combining the best findings.

Post-conference analysis — compares researcher trajectories, identifies failure modes, extracts transferable insights, and produces an insight taxonomy. TRIGGER when: user wants to analyze conference results, understand what happened, extract learnings from a…

Adversarial 2-researcher debate mode. One researcher argues Position A (pro), the other argues Position B (con). Structured rounds with an Opus judge. TRIGGER when: user wants a debate, adversarial evaluation, pro/con analysis, wants to test opposing…

8-step interactive wizard that produces a fully configured conference.md file. TRIGGER when: user wants to set up a new conference, plan a conference, create conference.md. DO NOT TRIGGER when: user wants to run an existing conference (use autoconference).

Resume an interrupted autoconference from its last checkpoint. Reads conference_events.jsonl to find last completed phase and resumes. TRIGGER when: user wants to resume/continue a conference, conference was interrupted. DO NOT TRIGGER when: user wants to…

8-phase pipeline to convert conference results into paper-ready output. Formats, verifies, and packages conference findings for publication. TRIGGER when: user wants to ship/publish/format conference results, create a paper/report/blog post from conference…

Systematic multi-database literature survey. 3 researchers cover non-overlapping sources (databases, time periods, or methodologies) with citation-chain knowledge transfer. TRIGGER when: user wants a literature survey, systematic review, paper survey, wants…

Extracts transcripts from YouTube videos and produces structured digests with TL;DR, key takeaways, core assertions with timestamps, topic timeline, and notable quotes. Builds on markitdown's raw transcript extraction by adding LLM-driven analysis and…

COMSOL Multiphysics toolkit for .mph model analysis, input preparation, mesh/geometry editing, and MCP connectivity. Use when (1) user provides a .mph file and wants to understand its contents, (2) preparing simulation inputs or parameter sweeps, (3)…

Award-winning frontend design skill producing hand-crafted, human-quality interfaces. Generates landing pages, dashboards, web apps, components, and posters with distinctive typography, bold color systems, intentional motion, and spatial compositions that…

Drive the ovito-mcp MCP server to analyze MD trajectories and clathrate-hydrate structures headlessly via OVITO in-process. TRIGGER when: the user mentions OVITO, GROMACS (.gro/.xtc/.trr), LAMMPS (dump/data), trajectory analysis, RDF, coordination,…

Convert the current working directory into a task-local LLM-maintained wiki. Use when the user wants to organize project knowledge, ingest files or URLs into a local markdown wiki, bootstrap a wiki structure in-place, maintain an existing mini wiki, or build…

Creates or updates a resolved HANDOFF.md continuation document that captures progress, findings, and remaining work so a fresh agent can continue without context loss. TRIGGER when: the current agent cannot complete a task and needs to pass it to a new agent,…

Converts bidirectionally between DOCX/PDF and Markdown, edits existing DOCX files programmatically, or prepares a journal-ready manuscript. TRIGGER when: user needs DOCX↔Markdown conversion, wants to create a styled Word document from Markdown, needs to…

Creates, edits, and analyzes spreadsheet files (.xlsx, .xlsm, .csv) with formulas, formatting, data analysis, and visualization. TRIGGER when: user needs to create or modify a spreadsheet, run formula-based calculations, analyze tabular data, or build…