TypingMindTypingMindThe best frontend for AI
Pwc Cli logo

Pwc Cli

Organization
huggingface
pwc-cli

Papers With Code CLI (`pwc`) for searching and reading AI/ML papers, discovering recent and trending research, finding related work and paper lineage, browsing tasks, methods, conferences, organizations, frameworks, and benchmark leaderboards, and submitting authenticated paper edits through the public Papers With Code catalog. Use whenever the user asks to find papers, survey literature, compare research, inspect an arXiv paper, explore AI/ML taxonomy or conferences, discover benchmarks or state-of-the-art models, or mentions Papers With Code, `pwc`, or `pwc-cli`.

Overview

Publisherhuggingface
Repositorypwc-cli
Skill namepwc-cli
Stars
210
Forks
13
Bundled files
16
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 16 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by huggingface on GitHub. Read the source before you install it.

Installation

Install the Pwc Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/huggingface/pwc-cli/tree/main/standalone_cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/huggingface/pwc-cli.git /tmp/pwc-cli
mkdir -p .claude/skills
cp -r /tmp/pwc-cli/standalone_cli .claude/skills/pwc-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pwc Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pwc Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pwc Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Generated with pwc v0.4.6. Run pwc skills add --force to regenerate.

Research commands query the public Papers With Code catalog anonymously. Paper editing requires explicit browser authorization through pwc auth login --paper PAPER. Run pwc --help or a nested --help command when the live parser and this skill disagree; the parser is authoritative.

Use compact output for reading and discovery. Add --json for programmatic filtering, joining, or schema-dependent processing.

When the user identifies an author, prefer repeatable structured pwc paper list --author AUTHOR filters. Add --search TEXT for stated topic terms and explicit --order-by date_published --order-dir desc for newest or recent work. Author references accept an exact normalized name, numeric ID, or @HF_USERNAME; repeated authors use AND semantics.

Publication date ranges are inclusive: use --start-date YYYY-MM-DD and --end-date YYYY-MM-DD with pwc search or pwc paper list; the start date must not be later than --end-date. The combined flags are --start-date YYYY-MM-DD --end-date YYYY-MM-DD.

Paper discovery commands accept --implementation-coverage to add official implementation status and total linked repository count columns. JSON and pwc paper info always include both fields. Use --has-official-implementation with pwc search or pwc paper list to require a catalog-linked official repository; these filters fail closed if unconfirmed.

Use pwc benchmark --name NAME --max-parameters SIZE to keep models at or below an inclusive parameter limit. SIZE accepts values such as 500M, 1.5B, 3B, and raw integers. Models without one consistent parameter count are excluded from constrained results.

PAPER accepts a modern or legacy arXiv ID, a numeric external-paper ID, or an exact paper title. Quote titles containing spaces. Title matching is case-insensitive but exact; ambiguous titles fail with their matching IDs. When pwc paper info or pwc paper read names a paper Papers With Code has not indexed, stderr shows "Not indexed on Papers With Code — available at:" with public links and metadata before the usual not-found error; cite those links, not a Papers With Code page.

Commands

  • pwc search QUERY [--limit LIMIT] [--page PAGE] [--mode hybrid|keyword|semantic] [--start-date START_DATE] [--end-date END_DATE] [--has-official-implementation] [--implementation-coverage] [--json] — search papers.
  • pwc paper info PAPER [--include-resources] [--include-evals] [--json] — show paper metadata including abstract.
  • pwc paper evaluations PAPER [--page PAGE] [--page-size PAGE_SIZE] [--json] — list one paper's benchmark evaluations.
  • pwc paper read PAPER [--json] — print stored paper Markdown.
  • pwc paper list [--page PAGE] [--page-size PAGE_SIZE] [--search SEARCH] [--start-date START_DATE] [--end-date END_DATE] [--task TASK] [--method METHOD] [--conference CONFERENCE] [--framework FRAMEWORK] [--organization ORGANIZATION] [--author AUTHOR] [--all-versions] [--order-by trending|date_published|citation_count] [--order-dir asc|desc] [--include-resources] [--has-official-implementation] [--implementation-coverage] [--json] — list and filter papers.
  • pwc paper recent [--limit LIMIT] [--implementation-coverage] [--json] — list recent papers.
  • pwc paper trending [--limit LIMIT] [--max-age-days MAX_AGE_DAYS] [--min-velocity MIN_VELOCITY] [--implementation-coverage] [--json] — list trending papers.
  • pwc paper related PAPER [--limit LIMIT] [--implementation-coverage] [--json] — list related papers.
  • pwc paper lineage list PAPER [--json] — list predecessors and successors.
  • pwc paper edit export PAPER [--output OUTPUT].
  • pwc paper edit preview PAPER [--file FILE].
  • pwc paper edit submit PAPER [--file FILE].
  • pwc task [--name NAME] [--json] — inspect or list research tasks.
  • pwc task list [--page PAGE] [--page-size PAGE_SIZE] [--search SEARCH] [--group-by-area] [--flat] [--area AREA] [--level LEVEL] [--visible-only] [--order-by name|created_at|level|paper_count] [--order-dir asc|desc] [--json] — list and filter research tasks.
  • pwc method [--name NAME] [--json] — inspect or list research methods.
  • pwc method list [--page PAGE] [--page-size PAGE_SIZE] [--search SEARCH] [--area AREA] [--introduced-year INTRODUCED_YEAR] [--order-by name|full_name|introduced_year|created_at|paper_count] [--order-dir asc|desc] [--json] — list and filter research methods.
  • pwc conference [--name NAME] [--json] — inspect or list conferences.
  • pwc conference list [--year YEAR] [--json] — list conferences with imported papers.
  • pwc organization [--name NAME] [--json] — inspect or list research organizations.
  • pwc organization list [--featured-only] [--json] — list research organizations.
  • pwc framework [--name NAME] [--json] — inspect or list research frameworks.
  • pwc framework list [--domain DOMAIN] [--category CATEGORY] [--platform PLATFORM] [--json] — list research frameworks.
  • pwc benchmark [--name NAME] [--limit LIMIT] [--page PAGE] [--is-open true|false] [--max-parameters SIZE] [--require-metrics METRIC[,METRIC]] [--min METRIC=VALUE] [--max METRIC=VALUE] [--sort METRIC[:ASC|DESC]] [--pareto METRIC:HIGHER,METRIC:LOWER] [--json] — inspect benchmarks.
  • pwc benchmark list [--page PAGE] [--page-size PAGE_SIZE] [--search SEARCH] [--task TASK] [--group-by-area] [--flat] [--area AREA] [--benchmarks-per-task BENCHMARKS_PER_TASK] [--include-descendants] [--min-eval-count MIN_EVAL_COUNT] [--is-open true|false] [--order-by trending|name|full_name|created_at|paper_count] [--order-dir asc|desc] [--json] — list and filter benchmarks.
  • pwc skills add [--global] [--claude] [--dest DEST] [--force] — install the version-matched pwc CLI Skill.
  • pwc version — show CLI and API contract versions.
  • pwc auth login [--paper PAPER] [--no-browser].
  • pwc auth status [--paper PAPER].
  • pwc auth logout [--paper PAPER].

Research workflow

  1. Use pwc benchmark list --task TASK to discover active benchmarks, then pwc benchmark --name NAME to inspect a leaderboard. Add --max-parameters SIZE when model size is part of the request.
  2. Use pwc paper info to inspect promising results. Add --include-resources when repositories, project pages, or Hugging Face artifacts matter.
  3. Use exact pwc paper list --author, --task, --method, --conference, --framework, and --organization filters for known identities or catalog associations. Combine them to require every association; do not substitute a keyword search. Add --search for title or abstract topic terms.
  4. Use pwc search for broader discovery, then pwc paper read for primary evidence.
  5. Expand the literature with pwc paper related and use pwc paper lineage list when model or method ancestry matters.
  6. Preserve paper titles, identifiers, and URLs so claims remain traceable.

Output and limits

  • Interactive output is optimized for people. Benchmark lists remain aligned when captured; other captured list output uses lossless TSV. Add --json for structured agent or script consumption.
  • Stable exit codes are 0 success, 2 invalid usage, 3 network/server failure, and 4 invalid API response.
  • PWC_API_URL may select another compatible v1 endpoint. The default is https://paperswithcode.co/api/v1.
  • Catalog-filtered paper lists fail closed unless the server confirms every requested filter; never treat results from an older server as filtered.
  • Parameter-filtered benchmark details fail closed unless the server confirms parameter-filter support and every returned model satisfies the limit.

The research commands contain no authentication, catalog mutation, ingestion, publication, image, embedding, CRON, or infrastructure-maintenance operations.

Editing one paper

Use this workflow only when the user requests edits. Research commands remain anonymous.

  1. Run pwc auth login --paper PAPER. Give the user the browser link and code; they sign in with Hugging Face and authorize that paper for one hour. Use --no-browser on a remote machine. Never extract, print, or copy credentials.
  2. Run pwc paper edit export PAPER --output edits.json (the output must not already exist). It includes paper_id, version, idempotency_key, empty operations, and current reference data. Change operations, not current. Preserve the exported version and retry key. Documents may contain at most 50 operations and 1 MiB of JSON.
  3. Add operations of the form {"section":"tasks","payload":{"task_ids":[1,2]}}. A section operation explicitly replaces that section; preserve unrelated links and tags. Omitted sections stay unchanged. Allowed sections and payload keys: tasks/task_ids, methods/method_ids, repositories/repositories, project_pages/project_pages, hf_artifacts/hf_models+hf_datasets+hf_spaces, x_threads/x_threads, source_url/source_url (external papers only), and evaluations. Repository/project-page entries contain url and is_official. x_threads is a list of x.com or twitter.com post URLs in display order (at most 10). Link only posts in which the paper's authors or their organization introduce the paper, never outside accounts; the server captures each post's preview and rejects deleted or protected posts.
  4. For evaluations, an operation without evaluation_id creates a row. Include task_id, dataset_id, metrics (a dictionary of existing metric names to scores), model_name, and the evaluation setup where available. One row can contain multiple metrics. Add evaluation_id to correct an existing row on this paper; omitted update fields stay unchanged. Use source_url and methodology to cite precise evidence when available; source references remain optional. Existing benchmark/task/metric definitions are required. Do not invent missing IDs or create benchmarks. Report unsupported results to the user. No evaluation deletion, paper identity changes, organization edits, or rank overrides.
  5. Run pwc paper edit preview PAPER --file edits.json, inspect the before/after changes, then pwc paper edit submit PAPER --file edits.json. Publication is immediate: no per-batch browser approval. Respect the user's requested scope. A batch succeeds completely or makes no changes. The response includes status published and a link to the paper's history.
  6. Retry an uncertain network result using the exact same document and retry key. A 409 means changed data or a reused key with different edits. Fetch a fresh export, preserve others' edits, and reconcile. Ask the user if the same score has conflicting corrections. Once you intentionally revise a previously submitted batch, use a fresh export/key. A 403 may mean expired authorization, suspension, or insufficient scope: read the error; do not broaden access. A 429 indicates the shared account limit: 20 distinct papers per UTC day and 30 publications per minute. Do not work around account limits.
  7. pwc auth status --paper PAPER shows local expiry metadata (revocation is checked by the server on use). pwc auth logout --paper PAPER revokes access. If authorization expires, keep the prepared file and request browser login again. Renewing authorization does not require discarding a valid edit document.

Credentials are stored in owner-only files under ~/.config/pwc/edit-credentials, separately for each API base URL and paper. They never belong in a prompt, edit file, repository, or command argument. The CLI does not follow edit redirects.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pwc Cli AI skill do?

Papers With Code CLI (`pwc`) for searching and reading AI/ML papers, discovering recent and trending research, finding related work and paper lineage, browsing tasks, methods, conferences, organizations, frameworks, and benchmark leaderboards, and submitting authenticated paper edits through the public Papers With Code catalog. Use whenever the user asks to find papers, survey literature, compare research, inspect an arXiv paper, explore AI/ML taxonomy or conferences, discover benchmarks or state-of-the-art models, or mentions Papers With Code, `pwc`, or `pwc-cli`.

Why use Pwc Cli on TypingMind?

Because you install it once and use it with any model. Pwc Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pwc Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huggingface/pwc-cli/tree/main/standalone_cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pwc Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pwc Cli?

As many as you like. As long as a model supports skills, you can use Pwc Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pwc Cli AI skill free?

It is published on GitHub by huggingface. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
nexu-io logo

Kami Deck

nexu-io
OrganizationPopular

A lab-meeting deck on gut-microbiome links to sleep quality — the design, the results, the caveats, and the next experiment. Built as a decision-grade academic research deck for lab group, PI.

11.5K
98.9K
1 files
View
nexu-io logo

Last30days

nexu-io
OrganizationPopular

Recent community and social trend research over the last 30 days. Use when the brief asks what people are saying now, recent sentiment, community reactions, social proof, launch reaction, trend scan,…

11.5K
98.9K
58 files
View
ruvnet logo

Swarm Advanced

ruvnet
CommunityPopular

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

12.8K
97.4K
Instructions
View
nexu-io logo

Dcf Valuation

nexu-io
OrganizationPopular

Discounted cash flow valuation and intrinsic value analysis for public companies. Use when the brief asks for DCF, fair value, intrinsic value, price target, undervalued or overvalued analysis, or…

11.2K
96.7K
1 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇