Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,409 skills from 2,375 repositories · updated 15 hours ago
48,362 skills
- agentlas-operationsagentlas-ai/Agentlas-OSAgentlas 시스템 운용 절차 — hep-network 편성, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이 절차를 따른다.OtherNo warnings★ 1.6K↓ —
- agentlas-callagentlas-ai/Agentlas-OSPrepare explicitly named Agentlas Hub or Cloud agents.OtherNo warnings★ 1.6K↓ —
- agentlas-hubagentlas-ai/Agentlas-OSStaff a task only from public Agentlas Hub agents.ProductivityNo warnings★ 1.6K↓ —
- colm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical core of a COLM paper — contamination analysis for evaluation data, fair baselines under matched prompting and compute, pinned model versions and decoding parameters, uncertainty over runs and samples, scaling coverage, and honest reporting of API-model comparisons.ScienceNo warnings★ 1.4K↓ —
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaNo warnings★ 1K↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ScienceNo warnings★ 1K↓ —
- second-brain-ingestundefined-ui/second-brain-osTurn raw source material in a second-brain vault into linked wiki pages: read the source, split it into concepts and entities, write or update pages, connect them to existing pages, and record the run in the log. Use this skill whenever the user drops a file into raw/, pastes an article, transcript or PDF and asks to add it to the vault, says "ingest this", "add this to my second brain", "process raw", or asks to catch up on unprocessed sources, even if they do not name the ingest command. Do NOT use for answering questions from an existing vault, for linting or repairing pages, or for editing notes the user wrote by hand.DocumentsNo warnings★ 1.2K↓ —
- crabboxopenclaw/crabboxDetect and use Crabbox for repository tests and validation on remote runners. Use when crabbox.yaml or .crabbox.yaml exists, the crabbox CLI is available, or work needs remote compute, a clean or reusable environment, target-platform coverage, or auditable execution evidence.TestingNo warnings★ 1.5K↓ —Also in 1 other repo
- ase-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when shaping the prose and structure of an ASE (IEEE/ACM Automated Software Engineering) research paper, covering the automation-first first-page arc, stating the automated task precisely, keeping the tool runnable and the model-swap test in mind, threats-as-argument, and the 10+2 page discipline on the ACM acmart template.WritingNo warnings★ 1.4K↓ —
- acl-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising an ACL paper for computational-linguistics house style, covering task-first framing, linguistic examples tied to quantitative error analysis, scoping language claims to tested languages, LLM-era claim discipline, anonymous self-reference, Limitations prose, and compressing into the 8-page or 4-page ACL format.WritingNo warnings★ 1.4K↓ —
- acl-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices after references, anonymized software and data archives, the no-cloud-links rule, and deciding what must stay in the 8-page or 4-page body.ScienceNo warnings★ 1.4K↓ —
- ase-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in the 10-page ASE (IEEE/ACM Automated Software Engineering) paper body versus the artifact and supplementary material, splitting content by decision-criticality so nothing that decides acceptance lives outside the reviewed pages under the 10+2 budget.ScienceNo warnings★ 1.4K↓ —
- second-brain-reportundefined-ui/second-brain-osProduce a research report from the vault: scope the question against existing pages, name the gaps, and write findings with citations, disagreements and limits. Use this skill when the user asks for a research report, a deep write-up on a topic, or wants to understand a subject thoroughly using what they have collected. Do NOT use for a quick answer from the vault, for drafting an article in the user's voice, or for summarising a single source.ScienceNo warnings★ 1.2K↓ —
- acmmm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning the end-to-end ACM MM (ACM Multimedia) campaign calendar — from thematic-area scoping and track choice, through the April OpenReview abstract/paper/supplement chain, the June anonymous rebuttal, the July decision, the August camera-ready, and the November presentation in Rio, with the right skill invoked at each stage.ProductivityNo warnings★ 1.4K↓ —
- git-workflowsTencentCloudBase/CloudBase-AI-ToolkitReusable git delivery workflows derived from local slash commands (commit, push, PR, release notes, GitHub Actions failure triage with worktree-based fixes, and isolating your own changes from a shared dirty workspace).EngineeringNo warnings★ 1.2K↓ —
- atc-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — writing a self-standing two-page extended abstract for the round-one gate, structuring the implementation-and-measurement narrative, reporting costs beside gains, and holding the two-column 12-page budget.WritingNo warnings★ 1.4K↓ —
- wacv-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a WACV submission before an OpenReview round deadline, covering the Round 1 vs Round 2 choice, the Applications vs Algorithms track field, the 8-page-including-figures limit, double-blind anonymity and OpenReview-profile requirements, the anonymized supplement, dual submission, and desk-reject triage.PlanningNo warnings★ 1.4K↓ —
- uai-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a UAI submission within the probabilistic reasoning, graphical-model, causality, and Bayesian ML literature, covering PMLR archival status of recent UAI volumes, double-blind self-citation discipline, concurrent arXiv and workshop versions, and the cross-community citation coverage UAI reviewers check first.ScienceNo warnings★ 1.4K↓ —
- researchtaishi-i/awesome-japanese-nlp-resourcesAnalyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.ScienceNo warnings★ 1K↓ —
- vis-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning an IEEE VIS submission against the visualization literature across TVCG, the six VIS areas, EuroVis/CGF, PacificVis, and adjacent HCI/graphics venues, writing delta-first contrast rather than a citation catalog, keeping self-citations double-blind when opted in, and handling concurrent, preprint, and prior-version overlap for a TVCG journal article.WritingNo warnings★ 1.4K↓ —
- aaai-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.OtherNo warnings★ 1.4K↓ —
- uist-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when performing the final pre-upload audit of a UIST paper in PCS — the abstract-then-paper deadline pair, 10-page/5-page two-column limits with desk-reject enforcement, anonymous acmart options, video-figure and supplementary uploads, the prior-work overlap rule, and deadline-week sequencing.MediaNo warnings★ 1.4K↓ —
- second-brain-projectundefined-ui/second-brain-osSet up or update a project in the vault: the four-stage folder pipeline, a project-scoped CLAUDE.md with one goal, and links to the concept pages it depends on. Use this skill when the user starts something new they will work on over time, says "create a project", "set up a folder for X", or asks to define the goal and structure of ongoing work. Do NOT use for one-off tasks, for wiki pages about a topic, or for scoping an existing project down to work in it.ProductivityNo warnings★ 1.2K↓ —
- baoyu-markdown-to-htmlJimLiu/baoyu-skillsConverts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, Mermaid (rendered to PNG via headless Chrome), PlantUML, footnotes, alerts, infographics, and optional bottom citations for external links. Use when user asks for "markdown to html", "convert md to html", "md 转 html", "微信外链转底部引用", or needs styled HTML output from markdown.BrowserNo warnings★ 27.2K↓ —
creator-profile-teardown
ScrapeCreators/social-media-research-skills
OtherUpdated Aug 26, 2026
From the author
Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.
Install
npx skills add ScrapeCreators/social-media-research-skills --skill creator-profile-teardown -a claude-code
Installs to .claude/skills/creator-profile-teardown/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance84
Maintenance85
Licence100
Adoption58
Files (1)
- SKILL.md