Curate Papers With Code papers from a Hugging Face daily-paper import: enrich official URLs and existing task/method tags, remove false-positive tags, add paper-native evaluation results only for existing benchmark/task/metric leaderboards, verify ranks and duplicates, and report every change. Use this whenever the user asks to curate yesterday's papers, run daily paper curation, enrich a daily import, process a specific Hugging Face paper date, or repeat the recent weekly paper-enrichment workflow for a day or date range.
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Enrich an existing paperswithcode paper with its official GitHub repository, project page, Hugging Face artifacts, existing-taxonomy task/method tags, and a recognizable thumbnail through `create-thumbnail`. Use whenever the user asks to enrich a paper, attach its code or project page, improve its tags, fill missing links, replace Gemini URL extraction, or complete an arXiv/external paper page. Finds authentic URLs from cheap authoritative evidence, preserves existing tags and HF normalization, rejects false-positive repos, and fixes thumbnails that are missing, generic, “Untitled resource,” stale, broken, wrongly versioned, squat, letterboxed, or otherwise unsuitable.
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Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
Find and remove code that makes a codebase larger or harder to maintain without adding value. Use this skill whenever the user asks to clean up code, make code leaner or more concise, reduce bloat, remove unused or obsolete code, simplify overbuilt implementations, prune stale compatibility paths, or run a regular cleanup pass across a repo or folder. Trigger even if the user phrases it casually, such as "tidy this up", "trim dead code", "make this less bloated", or "look for stuff we can delete".
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Port Papers With Code evaluation results to Hugging Face Hub benchmark leaderboards (`benchmark:official` datasets) by opening `.eval_results/*.yaml` pull requests on model repos, then keep those PRs visible as ranks drift. Use this whenever the user asks which PwC evals can go to the Hub, to open eval-results PRs for model repos or rows of a candidate CSV, to "port", "migrate", or "push" evals from PwC or a paper/model card to an HF dataset leaderboard, to check why a Hub leaderboard lacks results PwC has, or to re-check, sweep, or clean up open eval-results PRs. Not for adding evals to PwC itself (use add-evals).
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Process the user's X (Twitter) bookmarks into Papers with Code: find every bookmarked post that announces a paper, index missing arXiv papers, add non-arXiv releases as external papers, enrich each paper (code, project page, HF artifacts, tags, thumbnail), add its evaluation results to existing leaderboards, and link the announcement thread to the paper's X threads section. Use whenever the user asks to check, sweep, triage, or process their X/Twitter bookmarks, or to make sure bookmarked paper tweets are indexed, enriched, evaluated, or have their X threads added.
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Papers with Code brand guidelines (colors, fonts, logo, layout, chart style, voice) taken from the paperswithcode.co website, plus the Pillow helpers that apply them. Use this whenever you create or restyle any Papers with Code visual or branded copy — X/social post images and charts, OG/share images, announcement cards, slides, report or dashboard graphics, diagrams, emails, or HTML pages meant to look like the site — even if the request only says "make an image/chart for the X post" or "make it look like our website". Not for paper thumbnails, which show the paper's own artwork (use create-thumbnail).
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Audit the health and answer quality of Papers With Code production research chat (paperswithcode.co/chat) over a time window — turn failures and their root causes, time to first event and total latency, provider calls, MCP tool errors, catalog misses, execution-limit hits, scope refusals, web-search budget, capacity 429s, feedback, and a sampled read of real answers. Use this whenever the user asks to review, audit, or check production chats, chat health, chat errors, chat latency, what users ask the chat, which tasks or methods the chat could not find, or whether a chat fix worked in traffic — even if they only mention one suspicious failure. Do not use it for staging chat qualification or to change chat configuration.
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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 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 the `pwc-cli`. Prefer this skill for grounded AI/ML research even when the user does not explicitly ask for a CLI command.
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Thoroughly audit the health of every Papers With Code production CRON job shown on the admin dashboard, including scheduler execution, logs, locks, durable data freshness, backlog completeness, semantic correctness, and bounded comparisons with upstream sources. Use this whenever a user asks whether PwC CRONs, scheduled imports, citations, GitHub stars, trending scores, leaderboard syncs, embeddings, thumbnails, daily paper enrichment, taxonomy linkers, or the admin CRON dashboard are healthy—even if they only mention one suspicious stale dataset. Do not use a green dashboard status or fresh timestamp as sufficient proof.
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Safely inspect, deploy, roll back, clean, or change nginx for the Papers With Code production and staging environments through the installed immutable-release interfaces. Use this whenever a request mentions PwC deployment, release status, staging promotion, production cutover, rollback, release cleanup, deployed service lifecycle, nginx changes, or environment migration. Do not use it for ordinary local development, data curation, database migrations, CRON job diagnosis, or paper/task/benchmark operations.
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(Also known as pwc-reply-issue.) Handle unread GitHub notifications for "Verify evals on Papers with Code" issues end-to-end. Apply author feedback to the catalog database, verify changes live, reply to authors, mark handled notifications read, and summarize with GitHub reply links. Also handles explicitly selected PwC catalog issues. Exclude Hugging Face artifact-hosting outreach and unrelated notifications unless explicitly requested.
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Semantic Scholar CLI (`s2`) for on-demand citation graph lookup: papers a work cites, papers that cite a work, and graph search across 200M+ papers. Use whenever the user asks for Semantic Scholar, S2, cited papers, references, bibliography, citing papers, citation count from Semantic Scholar, or papers that may not be in the local Papers With Code catalog. Prefer `s2` over curl or ad-hoc Graph API requests. `pwc search` is the local catalog only; `s2 search` is the broader Semantic Scholar graph.
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Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in one file per ticket locally, or native blocking links on a real tracker.
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
Hugging FaceReads credentialsSkill