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.
45.604 skill-uri din 2.205 depozite · actualizat acum 18 ore
44.573 de skill-uri
- vercel-automationdavepoon/buildwithclaudeAutomate Vercel tasks via Rube MCP (Composio): manage deployments, domains, DNS, env vars, projects, and teams. Always search tools first for current schemas.DevOpsFără avertismente★ 3,7 K↓ —
- briefdavepoon/buildwithclaudeSession-start briefing from Origin. Reads the project status file (the /handoff-maintained ledger of Active/Backlog work), then loads identity, preferences, and topic-relevant memories so the agent walks in with context. Surfaces any memories the daemon has flagged for human revision before the session uses them. Invoked as `/brief [topic]`. Call FIRST at session start, before any other Origin verb.ProductivitateFără avertismente★ 3,7 K↓ —
- claude-md-reviewwesammustafa/Claude-Code-Everything-You-Need-to-KnowAudit a CLAUDE.md file for the patterns that actually degrade Claude Code's output — vagueness, unnamed files, stale facts, and bloat. Use when asked to review, audit, improve, shrink, or fix a CLAUDE.md, and when a project's results feel inconsistent or Claude keeps rediscovering the same context.InginerieFără avertismente★ 3,5 K↓ —
- gsd:insert-phasedavepoon/buildwithclaudeInsert urgent work as decimal phase (e.g., 72.1) between existing phasesAlteleFără avertismente★ 3,7 K↓ —
- foundationpose-setupNVIDIA/skillsInstall or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines. Use for SAM3/TAO dependency conflicts, CUDA library failures, and depth-engine shape or precision decisions.AlteleFără avertismente★ 3,7 K↓ —
- gsd:spike-wrap-updavepoon/buildwithclaudePackage spike findings into a persistent project skill for future build conversationsAlteleFără avertismente★ 3,7 K↓ —
- doca-bench-extensionNVIDIA/skillsUse this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCA_EXPERIMENTAL-marked C entry points that doca-bench loads to measure a workload class its built-in modes do not cover, with doca_bench_cuda as the shipped reference exemplar. Trigger even when the user does not say "doca-bench-extension" or "doca_bench_cuda" — typical implicit phrasings include "no built-in doca-bench mode fits my workload", "how do I benchmark a CUDA GPUNetIO RX/TX kernel", "doca-bench cannot find or load my custom .so", "extension exported symbols do not match what the parent expects", "soversion mismatch after a DOCA upgrade", or "my GPU kernel hangs because stop_flag was never set". Refuse and route elsewhere for questions about which built-in doca-bench mode to pick, DOCA GPUNetIO programming semantics, CUDA toolkit installation, or contributor work on in-tree extensions — those belong to other skills.InginerieFără avertismente★ 3,7 K↓ —
- nvflare-diagnose-jobNVIDIA/skillsUse when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION, or produced suspicious errors. Diagnose in simulation, POC, or production by collecting bounded evidence and mapping failure patterns to recovery actions.AlteleFără avertismente★ 3,7 K↓ —
- solve-challengeljagiello/ctf-skillsSolves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.PlanificareFără avertismente★ 3,5 K↓ —
- cdf-simulationNVIDIA/skillsComponent-owned guidance for CDF Simulation requests submitted directly or through Airflow-triggered DIG Flow Catalog prompts — golden THT board, THT pin-geometry variation, good/clean SMT images, structural pose defects, and solder texture defects, from a board USD. Turns one matched prompt into one validated `cdf.CDFJob` build and its compiled JobOrder payload; it never executes a render itself. Requires a caller-supplied board USD and output root, asks for either when missing from an interactive request, and resolves optional details with fixed, documented defaults.MediaFără avertismente★ 3,7 K↓ —
- mcore-run-on-slurmNVIDIA/skillsHow to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.AlteleFără avertismente★ 3,7 K↓ —
- doca-rdmaNVIDIA/skillsRDMA data movement on NVIDIA BlueField/ConnectX NICs (RoCE/InfiniBand) with DOCA RDMA, instead of hand-written libibverbs/rdma_cm. Use when the user moves data between processes or hosts over the NIC, or hits "one-sided read returns permission denied", "completions never arrive after submit", "connection callback never fires", atomic compare-and-swap over RoCE, or DOCA_ERROR_FULL on the send queue under burst, even without naming DOCA RDMA. Covers bringing up an RDMA context on a doca_dev, connection methods (RDMA CM, bridge/OOB, or gRPC exchange of doca_rdma_export()), the eleven task types (Send/Receive/Send-Imm, Read/Write/Write-Imm, Atomic CmpSwap/FetchAdd, Get/Set/Add Remote Sync Event), matching mmap + RDMA permissions, queue and connection sizing, doca_rdma_cap_* queries, and DOCA_ERROR_* from RDMA calls. Raw QP/verbs control belongs to doca-verbs. Refuse and route elsewhere for general RDMA / ibverbs theory (queue pairs, MRs, RoCE vs IB), installing DOCA itself, or non-RDMA DOCA libraries.RedactareFără avertismente★ 3,7 K↓ —
- rag-evalNVIDIA/skillsFilesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.AlteleFără avertismente★ 3,7 K↓ —
- ctf-writeupljagiello/ctf-skillsGenerates a single standardized submission-style CTF writeup for competition handoff and organizer review. Use after solving a CTF challenge to document the solution steps, tools used, and lessons learned in a structured format.RedactareFără avertismente★ 3,5 K↓ —
- doca-mgmtNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (doca_mgmt_dev_ctx / doca_mgmt_dev_rep_ctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, modifying diagnostics-data, setting ICM quotas, or issuing a raw firmware command via doca_mgmt_raw_cmd with the right scope (CONFIGURATION / DEBUG_READ_ONLY / DEBUG_WRITE / DEBUG_WRITE_FULL). Trigger even when the user does not say "DOCA Management" — typical implicit phrasings include "fleet tool that walks every BlueField and reads device state", "toggle data-direct on a VF", "set an ICM quota per representor", "send a raw firmware command from C", "DOCA_ERROR_IO_FAILED from raw_cmd", or "fwctl ioctl is failing". Refuse and route elsewhere for mlxconfig direct operation, BFB / firmware reflash, streaming telemetry, doca_caps CLI snapshots, or DOCA install itself — those belong to other skills.InginerieFără avertismente★ 3,7 K↓ —
- youtube-fulldavepoon/buildwithclaudeUse when YouTube is or could be relevant — video/channel/playlist links, video IDs, @handles, creator lookups, summaries, quotes, topic research, tutorials, talks, product reviews, or anywhere video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and in-channel search.MediaFără avertismente★ 3,7 K↓ —
- five-whyswesammustafa/Claude-Code-Everything-You-Need-to-KnowFinds the root cause of a bug, failure or recurring problem by asking "why" until the answer is a cause you can fix. Use when the user asks why something keeps happening, or wants the root cause rather than a quick fix.AlteleFără avertismente★ 3,5 K↓ —
- Verification & Quality Assuranceforyourhealth111-pixel/Vibe-SkillsComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- doca-gpiNVIDIA/skillsUse this skill for DOCA GPI work — configuring a GPU Packet Initiator so device code issues RDMA operations straight out of GPU-resident buffers via doca_gpi objects: domain creation and channel limits, attribute objects, the doca_gpu_gpi_channel* handoff consumed inside device code, and DOCA_ERROR_* triage on doca_gpi_* entry points such as doca_gpi_gpu_channel_get. Also load it for implied asks like "how many channels fit in a GPI domain" or "device code issuing one-sided RDMA". Refuse and route to the proper owner for Send/Receive semantics (doca-gpunetio), host-managed QP lifecycle (doca-rdma), Arm-side origination (doca-rdmi), or generic CUDA tutelage.InginerieFără avertismente★ 3,7 K↓ —
- transformersforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.MediaFără avertismente★ 3,8 K↓ —
- doca-shaNVIDIA/skillsUse this skill when the user needs SHA-1, SHA-256, or SHA-512 digest acceleration on BlueField-2 silicon via doca_sha (absent on BF-3) — selecting one-shot `doca_sha_task_hash` versus incremental `doca_sha_task_partial_hash` for chunked input, consulting `doca_sha_cap_*` for per-algorithm digest-size limits and input alignment, or decoding DOCA_ERROR_* statuses such as BAD_STATE on a resumed partial hash. Also load it for implied asks like "accelerate SHA-256 on the NIC", "streaming digest over chunks", "digest output size mismatch", or "is SHA-512 present on this card". Refuse and route to the proper owner for cryptographic-hash theory (collision resistance, SHA-3 selection), the AES-GCM / Compress / DMA libraries, or SDK install and BFB bring-up.FinanțeFără avertismente★ 3,7 K↓ —
- doca-bf3-deploymentNVIDIA/skillsUse this skill for BlueField-3 (BF3) day-1 platform bring-up via the classic RShim/BFB path: pushing a BlueField bundle (BFB) to the DPU over RShim with bfb-install from the host, the host-to-DPU TMFIFO management channel (tmfifo_net0, the 192.168.100.x convention), RShim daemon state and console-over-rshim, DPU mode selection (DPU/embedded-function vs separated-host/NIC mode) via mlxconfig, post-BFB recovery, a six-state BlueField-state classifier, and verifying the install (cat /etc/mlnx-release plus version checks). Trigger even when the user does not say "BF3" — typical phrasings include {push a BFB to my BlueField-3}, {bfb-install exited 0 but the DPU never came back}, {ping 192.168.100.2 works but ssh fails}, or {is DOCA on the host or the Arm side?}. BFB reflash, mlxconfig set, mode changes, and firmware burns are destructive: require explicit target-bound confirmation and load doca-hardware-safety. App launch, container deploy, env install, and the BF4 BMC-Redfish path route elsewhere.DevOpsFără avertismente★ 3,7 K↓ —
- scientific-critical-thinkingforyourhealth111-pixel/Vibe-SkillsEvaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.ȘtiințăFără avertismente★ 3,8 K↓ —
- tao-finetune-cosmos-embedNVIDIA/skillsCosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", "embed videos", or "search videos with text".MediaFără avertismente★ 3,7 K↓ —
dialogue-systems
gamedev-skills/awesome-gamedev-agent-skills
AlteleActualizat alaltăieri
De la autor
Build branching dialogue and narrative — a node/choice graph with conditions, variables, and localization hooks — and choose between authoring tools Ink and Yarn Spinner or a custom data-driven runner. Engine-neutral. Use when the user mentions dialogue system, branching dialogue, conversation tree, choices, Ink (.ink), Yarn Spinner (.yarn), or NPC dialogue.
Instalare
npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill dialogue-systems -a claude-code
Se instalează în .claude/skills/dialogue-systems/ · 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
Doar instrucțiuniNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (3)
- SKILL.md
- references/ink-and-yarn.md
- references/runner.md