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.
49,415 skills from 2,407 repositories · updated 3 hours ago
49,415 skills
- pods-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness, correct complexity assumptions, and the occasional empirical validation when a theory paper claims practicality — matching the rigor to the shape of each theoretical claim.ScienceNo warnings★ 1.4K↓ —
- content-strategykostja94/marketing-skillsWhen the user wants to plan content for SEO, create content calendar, or build topic clusters. Also use when the user mentions "content strategy," "content plan," "topic clusters," "pillar content," "pillar page," "cluster articles," "editorial calendar," "content hub," "content planning," "content clusters," "topic cluster strategy," "content strategy for SEO," or "content calendar." For editorial mix, use content-marketing.MarketingNo warnings★ 1.1K↓ —
- pldi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing a PLDI evaluation — choosing defensible benchmark suites and baseline compiler configurations, measuring runtime, compile time, and memory with warmup and variance discipline, running ablations that isolate the claimed mechanism, and scoping claims to the platforms measured.ProductivityNo warnings★ 1.4K↓ —
- rss-supplementarybrycewang-stanford/Awesome-Journal-SkillsJournal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。PlanningNo warnings★ 1.4K↓ —
- kdd-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a KDD paper into the venue's register, where the first page names a data regime, a mechanism, and scale evidence, efficiency adjectives trace to design decisions, and two-column sigconf pages punish sprawl. Covers Research vs ADS voice, dataset-size discipline, assertive contribution bullets, and 8-page compression.WritingNo warnings★ 1.4K↓ —
- ipsn-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IPSN-lineage evaluations, covering real testbeds and deployments, ground-truth instrumentation, energy/latency/footprint measurement on real hardware, on-device/TinyML profiling, estimation-theoretic baselines and bounds, and matching evidence to the shape of each sensing claim across the IP and SPOTS tracks.DevOpsNo warnings★ 1.4K↓ —
- lancet-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure and hold the length of a Lancet Article main text — Introduction, Methods, Results, Discussion (~3000–3500 words), the Research in context panel, a limited reference list (~30), and a cautious, globally minded Discussion that does not overstate.WritingNo warnings★ 1.4K↓ —
- icse-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ICSE research-track paper, covering subject and benchmark selection, baseline fairness, statistical tests and effect sizes as SE reviewers expect them, qualitative-methods rigor, ablations for AI-based techniques, and threats-driven study design.TestingNo warnings★ 1.4K↓ —
- icdm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evaluation for an ICDM (IEEE International Conference on Data Mining) paper - mining-task definition, strong and fairly-tuned baselines, ablations that isolate the named mechanism, scalability curves that test scale claims, and discovery-validity checks that separate real findings from evaluation artifacts.TestingNo warnings★ 1.4K↓ —
- icra-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental section of an ICRA paper — real-robot versus simulation-only evidence, trial counts and success-rate reporting, task distributions and resets, baseline fairness on shared hardware, sim-to-real transfer claims, failure-mode analysis, and the statistics robotics reviewers actually expect.ScienceNo warnings★ 1.4K↓ —
- focs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how computation appears in a FOCS (IEEE Symposium on Foundations of Computer Science) paper — a venue that accepts on theorems with no evaluation section expected — covering machine-verified case analyses, computer-discovered constructions, and honest illustrative plots.MediaNo warnings★ 1.4K↓ —
- hri-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when planning the supplementary materials for an ACM/IEEE HRI full paper — above all the video figure that shows the embodied interaction, plus study instruments, extended results, and appendices — deciding what a reviewer must see to judge the interaction versus what belongs outside the 8-page body, all anonymized for double-blind review.MediaNo warnings★ 1.4K↓ —
- oma-coordinationUpdatedfirst-fluke/oh-my-agentCoordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.PlanningNo warnings★ 1.4K↓ —Also in 2 other repos
- fse-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in an ESEC/FSE paper body versus its anonymized artifact and appendices, covering the ACM-template page budget, the rule that decision-critical evidence stays inside the reviewed pages, double-anonymous supplementary material, and how to split an empirical-SE paper between body and package.ScienceNo warnings★ 1.4K↓ —
- cvpr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of a CVPR paper, covering benchmark and baseline selection under matched-compute fairness, the ablation study reviewers treat as mandatory, qualitative and failure-case evidence, efficiency metrics tied to the Compute Reporting Form, and generalization tests beyond a single dataset.TestingNo warnings★ 1.4K↓ —
- jd-decodermohitagw15856/pm-claude-skillsDecode a job description to find what they actually want beneath the buzzwords. Use when asked to analyse a job description, decode a JD, assess fit for a role, or figure out what a posting really means before applying. Produces a decode — the real must-haves vs. nice-to-haves, hidden priorities & culture signals, red flags, an honest fit assessment, and the exact phrases to mirror in your application.OtherNo warnings★ 1.5K↓ —
- eacl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evidence for an EACL paper, covering tuned and LLM baselines, multilingual breadth matched to the claim, significance and variance floors, human-evaluation agreement, data-contamination controls, ablations, and error taxonomies, so that every stated result is measured rather than asserted.ScienceNo warnings★ 1.4K↓ —
- followup-sweepmohitagw15856/pm-claude-skillsSweep the user's REAL mail and calendar for dropped balls — threads awaiting their reply, promises they made, and replies they're owed — then draft the nudges. Use when asked what am I forgetting, what have I not replied to, who owes me a reply, or chase my open threads in Cowork. Reads sent/received mail via the Gmail connector and recent events via Calendar, finds the open loops, and produces a follow-up-list artifact plus ready-to-send draft nudges.ProductivityNo warnings★ 1.5K↓ —
- vis-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an IEEE VIS full-paper submission for PCS readiness, covering the abstract-then-paper two-deadline structure under the VGTC society, the IEEE VGTC/TVCG 9+2 page budget, author-optional double-blind anonymization, the supplemental-material one-week window, and desk-reject triage before the AoE cutoff for a paper that will publish in IEEE TVCG.ScienceNo warnings★ 1.4K↓ —
- vldb-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a VLDB project on the PVLDB rolling calendar, covering month-picking strategy, the volume-to-conference mapping and acceptance cutoff, budgeting a possible three-month revision, coordinating author caps across a group, and backward planning from the 25th-abstract / 1st-paper rhythm.ProductivityNo warnings★ 1.4K↓ —
- acl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expectations in NLP reviewing.ScienceNo warnings★ 1.4K↓ —
- ase-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ASE (IEEE/ACM Automated Software Engineering) paper, covering real subject systems, fair runnable tool baselines, task-matched effectiveness metrics, ablations that isolate a learned component, oracle and correctness validation, contamination-aware LLM handling, and provenance for mining.ScienceNo warnings★ 1.4K↓ —
- socc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM SoCC project timeline from venue fit through the two-round abstract+paper deadlines, the rebuttal, notification, camera-ready, and presentation, with backward-planning offsets for a cloud-systems measurement paper and honest handling of the two-rounds-per-year cadence and the no-cross-round-resubmission rule.ProductivityNo warnings★ 1.4K↓ —
- uai-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a UAI submission for OpenReview readiness, covering the February paper deadline, the 8-page main part with unlimited appendices in one PDF, the 15 MB file cap, the optional 50 MB supplementary ZIP, double-blind rules, the reviewer-volunteer agreement, dual-submission checks, and desk-reject triage before upload.DocumentsNo warnings★ 1.4K↓ —
rag-architect
alirezarezvani/claude-skills
PlanningUpdated 18 hours ago
From the author
Design a RAG pipeline: chunk size, embedding model, vector database and retrieval quality metrics. Use whenever the user builds search over their docs, picks a vector store or finds answers miss the right context.
Install
npx skills add alirezarezvani/claude-skills --skill rag-architect -a claude-code
Installs to .claude/skills/rag-architect/ · 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
Runs bundled scriptsNo network use seenLicence: MIT
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Security85
Provenance94
Maintenance100
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Files (7)
- SKILL.md
- chunking_optimizer.py
- rag_pipeline_designer.py
- references/chunking_strategies_comparison.md
- references/embedding_model_benchmark.md
- references/rag_evaluation_framework.md
- retrieval_evaluator.py