asta-assistant
claudeAutonomous collaborative agent able to plan and execute a long-range research agenda using asta-tools. Requires installation of asta-tools
7 skills
Paper search, metadata, document management, literature reports, experiments, and theory generation for scientific research
Plugin asta-tools from marketplace asta-plugins in allenai/asta-plugins. Commands read from the repo's manifest — today.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
analyze-dataThis skill should be used when the user asks to "analyze this dataset", "run datavoyager", "run data voyager", "explore this data", "what's in this CSV", "statistical analysis of", "find patterns in", or wants an AI-driven, code-executing analysis of a tabular dataset that answers a specific researc
artifactsUse this skill to export and open A2A agent task outputs — "export the task results", "convert the task output to HTML", or work with the structured artifacts produced by an A2A agent task run.
asta-cliInstall or update the `asta` CLI to the version pinned by this plugin. Invoke whenever `asta` is not on PATH (e.g. `command not found` for `asta`) or when a subcommand/flag appears missing — that signals a stale install needing an update.
asta-documentsLocal document metadata index for files used by Asta skills and tools. Use this skill when the user asks to store a document "in Asta" or retrieve "from Asta". Use it when the
autodiscoveryCreate, configure, and monitor AutoDiscovery runs — either via the hosted service (`asta autodiscovery`) or via the local CLI (`auto-discovery`). Use when the user asks about their runs, experiments, discoveries, wants to check status, or wants to start a new discovery run.
check-claimsJudge whether factual claims in an evidence-backed research write-up are substantiated — which claims assert something checkable with no evidence attached, and whether an attached quote supports the claim as worded. Works over whatever scope the request names — a pull request diff, your own uncommit
experimentRun scientific (software) experiments. Use when the user asks to "run an experiment", "run an investigation", or "research with Asta." Also use this skill to analyze experimental data generate a research report from it. The user may refer to this system by its internal project name, "Panda.
feedbackInterview the user about their experience with the Asta plugins and tools, write a narrative feedback report, and submit it (with optional supporting files) to the Asta team for analysis. Use when the user wants to "give feedback", "send feedback to the Asta team", "report how this went", or "tell A
find-literatureThis skill should be used when the user asks to "find papers", "search for papers", "what does the literature say", "find research on", "academic papers about", "literature review", "cite papers", or needs to answer questions using academic literature.
generate-theoriesThis skill should be used when the user asks to "generate theories", "theorize about", "what theories explain", "form scientific theories", "literature-driven theories", "hypothesize", "form hypotheses", "generate hypotheses", "what hypotheses explain", "run the theorizer", or wants AI-generated, li
literature-reportCreate or update literature reviews/reports. Use whenever you need to research, summarize, or synthesize the literature.
local-paper-indexBuild a searchable Asta document index from a collection of local PDF files. Use when the user asks to "index these PDFs", "put these PDFs into an Asta index", "index these PDFs using Asta", "build a local paper index", "make these PDFs searchable", or "create an index from these papers".
pdf-downloadDownload PDFs for a list of academic papers identified by title, DOI, arXiv ID, or other paper IDs. Use when the user asks to "download these papers", "grab the PDFs", "fetch full text for this list", or supplies a list of citations and wants the source PDFs on disk. Resolves open-access PDFs automa
pdf-extractionExtract text from PDFs using the Asta remote OCR API. Use when the user asks to "extract text from PDF", "OCR a document", "read a PDF", or needs to process scanned documents.
semantic-scholarLook up or search papers, authors, citations, and full-text snippets on Semantic Scholar. Use for fast, targeted queries about a paper, author, or specific named research artifact (benchmark, dataset, model, method, etc.) — not comprehensive reports.
workspaceShow the user the agent's work on a research project and save iterations on the user's behalf. Scaffold rendering and deploy infrastructure (Quarto, GitHub Pages, dev container), create Markdown slide decks alongside papers, show rendered output, and save iterations. Doesn't handle research executio
mkdir -p ~/.asta/literature
bash ${CLAUDE_PLUGIN_ROOT}/hooks/sync-cli-version.sh
bash ${CLAUDE_PLUGIN_ROOT}/hooks/approve-asta-files.sh
Autonomous collaborative agent able to plan and execute a long-range research agenda using asta-tools. Requires installation of asta-tools
7 skills
Developer skills for working on Asta itself (improve-skills, research-challenge). Requires the asta-tools plugin to be installed.
2 skills
Run research workflows using Semantic Scholar and Asta tools.
1 skill
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.
2 skills · 1 MCP server
Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.
2 skills · 1 MCP server
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.
6 skills · 7 commands · 2 agents
The ARIS skill set as a plugin — every mainline skill under skills/, plus /aris:setup, which registers the bundled Codex reviewer bridge (mcp-servers/codex-exec/) and points helper resolution at the plugin.
87 skills · 1 command · 1 agent
Autonomous research orchestration using a two-loop architecture. Manages the full research lifecycle from literature survey to paper writing, routing to domain-specific skills for execution. Use when starting a research project, running autonomous experiments, or managing multi-hypothesis research.
98 skills
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