Write the final summary of an autoresearch run to ./.ar/finalreport.md — trajectory, best commit and its diff, what worked, what failed, and what to try next. Use for /ar:report, "write up the autoresearch results", or "summarise the experiment loop". Reads ./.ar/ar.jsonl from disk, so it works in a fresh session.…
Run the autoresearch experiment loop — propose one change, measure it, keep it only if it beats the noise floor, repeat. Use to resume or continue an autoresearch run, for /ar:resume, for "keep iterating", "next experiment", "continue optimising", or whenever ./.ar/ar.jsonl exists and the loop should advance.…
Open a new autoresearch experiment loop — dedicated ar/… git branch, ./.ar/ state, and a measured baseline noise floor so later gains can be told apart from run-to-run scatter. Invoke ONLY when explicitly asked to start an autoresearch run, open an experiment loop, or /ar:start — e.g. "autoresearch this", "start an ar…
Print the current autoresearch run's state — goal, baseline, noise floor, best-so-far, run tallies, budget, branch, and the last few iterations. Use for /ar:status, "how is the loop doing", "what's the best so far", or any read-only check on an autoresearch experiment. Reconstructs everything from ./.ar/ar.jsonl on…
End the current autoresearch run — append a status:stopped sentinel to ./.ar/ar.jsonl, which is also what halts the external ar-loop.sh driver. Use for /ar:stop, "stop the loop", "halt autoresearch", or "that's enough iterations". Writes the sentinel and the final report, then prints (does not run) the command to…
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers.…
Compose one publication-grade multi-panel figure. Entry from a one-line claim + data refs, OR from an existing figure via deriveoutlinetask(png). Runs a per-figure loop: outline (12-col grid, per-panel ask + labelbudget) → fan-out one Task subagent per panel (each loads figure-style) → tile + stamp letters →…
Publication-grade figure correctness and legibility rules. Load before drawing any plot and call applyfigurestyle() — sets a role-mapped font-size ladder, outward ticks, frameless legends, and 300-dpi output. The skill is a checklist, not a house look: data fidelity (claim-titles tested against every row, excluded…
Find, verify, and synthesize STEM literature across every field — from "what's the seminal paper for X" through full multi-source reviews. Treats journal articles, arXiv/preprints, and conference proceedings as first-class; grounds every claim in a retrieved source, never fabricates DOIs, checks for…
Judge and reshape the STORY a paper's figures tell. Input is the work itself — manuscript (or abstract) + figure deck — no hand-written brief. derivepaperbrieftask(abstract, captions) builds the prompt whose JSON is pitch/vision/per-figure-claims; a handling-editor reviewer on the full deck returns hookverdict (would…
Use this skill when the user has attached or pointed to a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, pull tables out as…
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Reference for writing documents an agent reads — skills, AGENTS.md / CLAUDE.md, and the files they point at. Use when authoring or editing a SKILL.md, writing or pruning an AGENTS.md / CLAUDE.md, deciding whether a skill should be model- or user-invoked, choosing what to inline versus push behind a pointer, or…
Consolidate the current session's progress into the project's auto-memory directory — the "log everything, update state, prepare for resumption" drill. Use when the user says "log everything", "checkpoint", "save progress", "update memory", "dump state", or autonomously when a long session is approaching context…
Prime the current project for the mindfunnel workflow — stamp a project-scoped AGENTS.md from the bundled stub (if absent), create a project-local CLAUDE.md symlink to ./AGENTS.md, touch an empty PROJECT.md if absent, clean up legacy SOUL.md / CLAUDE.md / AGENTS.md symlinks left behind by pre-0.3.0 primings, and strip…
One-time bootstrap — seed /.mindfunnel/ with AGENTS.md, SOUL.md, USER.md, and PROJECT.md.example from the plugin's bundled templates. Use the first time you run the mindfunnel plugin on a new machine, or when /.mindfunnel/ is missing. Idempotent — detects existing files and never overwrites. Also creates a CLAUDE.md…
Read project memory and produce a tight "where we are + next action" brief, then wait for direction. Invoke ONLY when the user explicitly asks to resume, catch up, or get oriented on prior work — e.g. "spin up", "catch up", "resume", "where were we", "get up to speed", "what were we working on". Do NOT auto-fire on…
Extract insight from a finished study and return a variance-aware adopt verdict — search-space boundaries, sampling density, infeasible fraction, training-curve pathologies, isolation plots, then adopt or not. Use for /tml:analyze, "here are my sweep results", "which config should I pick", "did this change actually…
Read a training/evaluation pipeline and emit ranked, evidence-graded, priced findings across the algorithmic (A), systems (B), protocol (C) and architecture (D) tiers. Use for /tml:audit, "why is my training slow", "how do I speed this up without losing accuracy", "review my training loop", "what am I leaving on the…
Choose an operating point on the speed↔quality frontier, fix the training-step budget, and turn findings into an ordered, gated change plan — with a quality floor, named non-negotiables, revert triggers, a measurement contract, and a stop rule. Use for /tml:plan, "which of these should I actually do", "I have N…
Adversarially review a proposed or applied change to a training/evaluation pipeline: did the claimed mechanism actually engage, is the measurement still valid, what did it silently break. Use for /tml:review, "I made training faster, check it", "review this diff before I merge", "why did throughput improve but…
Design the next round of experiments — scope one goal, classify every hyperparameter as scientific, nuisance or fixed, build the studies, choose search spaces and a sampler, and allocate the trial budget. Use for /tml:round, "what experiment should I run next", "how do I test whether X helps", "design a sweep for…