Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
49.409 skill-uri din 2.375 de depozite · actualizat acum 13 ore
49.409 skill-uri
- ase-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ASE (IEEE/ACM Automated Software Engineering) research-track submission for HotCRP readiness, covering the ACM acmart sigconf template and the 10+2 page budget, double-anonymous review, the mandatory Data Availability Statement, the early-rejection stage before rebuttal, and desk-reject triage before the deadline.ȘtiințăFără avertismente★ 1,4 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- pinme-authglitternetwork/pinmeUse when a PinMe project (Worker TypeScript) needs to integrate user authentication — creating email/password users, verifying id_tokens, querying user info, or listing users via Identity Platform auth proxy APIs.InginerieFără avertismente★ 3,8 K↓ —
- cell-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure a Cell Article and hold its length — Summary, Introduction, Results, Discussion, STAR Methods, figure legends, references — with main-text length and display-item budgets, and Results subheadings driving the single arc.RedactareFără avertismente★ 1,4 K↓ —
- pnas-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure a PNAS main text and hold its length — Title, Significance Statement, Abstract, Introduction, Results, Discussion, in-text Materials and Methods, references — and to choose the required Classification (Biological/Physical/Social Sciences + minor subject) and keywords at submission.RedactareFără avertismente★ 1,4 K↓ —
- atc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) submission for HotCRP readiness — the paired two-page extended abstract plus full paper, the two-column 12/6-page budget, the double-blind anonymity sweep, ACM Open Access publication, and desk-reject triage before the early-June AoE cutoff.ȘtiințăFără avertismente★ 1,4 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- cav-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a CAV (Computer Aided Verification) project timeline from venue and category selection through submission, the two-stage review with early reject and rebuttal, artifact evaluation by the AEC, and the LNCS open-access camera-ready, with backward-planning offsets for a verification-tool paper and honest handling of the single-annual-deadline cycle.ProductivitateFără avertismente★ 1,4 K↓ —
- cikm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a CIKM project calendar across the May abstract/paper gates, June short-track gates, August notification and camera-ready, and the November conference, including the post-submission phase now live in the 2026 cycle, multi-track coordination, and fallback planning toward CIKM 2027 or sibling venues.ProductivitateFără avertismente★ 1,4 K↓ —
- colm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a COLM submission campaign across the calendar — working backward from the late-March abstract and paper deadlines through the May-June rebuttal, July decisions, August camera-ready, and October conference, coordinating co-authors, compute, and reciprocal-reviewing duties, and slotting COLM into a multi-venue LM-research pipeline.ProductivitateFără avertismente★ 1,4 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —Apare și în 1 alt depozit
- cell-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which cell-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Cell (Cell Press). Routes — it does not replace — the specialized skills.ProductivitateFără avertismente★ 1,4 K↓ —
- eacl-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an EACL project timeline through ACL Rolling Review, covering the single viable ARR cycle with no fallback, backward planning from the one deadline, the rebuttal window, the commitment decision to EACL, notification, and camera-ready through ACL Anthology publication, plus re-routing since the next chance is another conference.ProductivitateFără avertismente★ 1,4 K↓ —
- podc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when building the evidence for an ACM PODC paper — where "evidence" is a proof, not a benchmark. Covers matching upper and lower bounds, tightness arguments, model and assumption stress-tests, adversary-strength calibration, and the honest, clearly-optional role of any simulation in a distributed-computing-theory paper.TestareFără avertismente★ 1,4 K↓ —
- colt-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a COLT (Conference on Learning Theory) submission calendar backward from the single AoE paper deadline — proof-completion and verification milestones, writing and appendix-assembly passes, CMT logistics, the rebuttal window, decision aftermath, and PMLR camera-ready with conference presentation in early summer.ProductivitateFără avertismente★ 1,4 K↓ —
- iros-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IROS experiments — real-robot trial counts, success criteria set in advance, reset procedures, failure taxonomies, baseline fairness on matched hardware, sim-to-real gap reporting, small-n statistics, and the claim-to-evidence ladder that embodied-systems reviewers apply before they trust a demo.AlteleFără avertismente★ 1,4 K↓ —
- edbt-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an EDBT project timeline across the multiple-cycle rolling model — choosing a submission cycle, backward-planning through the author-feedback phase and the in-cycle revise-and-resubmit window, and handling the cycle-to-conference roll — for a database-systems paper published open access on OpenProceedings.ProductivitateFără avertismente★ 1,4 K↓ —
- web-performance-optimizationfcakyon/claude-codex-settingsAudit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.AlteleFără avertismente★ 1,2 K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,3 K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- ecai-workflowbrycewang-stanford/Awesome-Journal-SkillsUse to plan an ECAI campaign end to end — run the single-round year backward from the paper deadline through the abstract/registration step, summary-reject phase, rebuttal window, notification, and the open-access camera-ready, adapting to whether the edition is a standalone ECAI (FAIA/PAIS) or the joint IJCAI-ECAI 2026.ProductivitateFără avertismente★ 1,4 K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- hri-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM/IEEE HRI full-paper submission for PCS readiness — the mandatory abstract-then-paper two-step deadline, choosing the correct one of the five tracks, the 8-page acmart anonymous format, the double-blind sweep across PDF and video, the human-participants ethics acknowledgment, and desk-reject triage before the AoE cutoff.DocumenteFără avertismente★ 1,4 K↓ —
baoyu-image-gen
JimLiu/baoyu-skills
MediaActualizat alaltăieri
De la autor
AI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
Instalare
npx skills add JimLiu/baoyu-skills --skill baoyu-image-gen -a claude-code
Se instalează în .claude/skills/baoyu-image-gen/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență93
Întreținere100
Licență100
Adopție69
Fișiere (49)
- SKILL.md
- references/codex-image2-fallback.md
- references/codex-oauth-vs-openai-api-key.md
- references/config/first-time-setup.md
- references/config/preferences-schema.md
- references/providers/agnes.md
- references/providers/codex-cli.md
- references/providers/dashscope.md
- references/providers/minimax.md
- references/providers/openrouter.md
- references/providers/replicate.md
- references/providers/zai.md
- încă 37