CtrlK
BlogDocsLog inGet started
Tessl Logo

Discover skills

Discover and install skills to enhance your AI agent's capabilities.

AllSkillsDocsRules
NameContainsScore

histolab

foryourhealth111-pixel/Vibe-Skills

Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

Skills

73

EpicenterHQ/epicenter

CSS and Tailwind, cn(), flex layouts. Use for "style this", "fix the CSS", "add classes", "not scrolling", "overflow", Tailwind utilities.

Skills

73

TencentBlueKing/bk-ci

设计 BK-CI 数据库表、DDL 脚本、索引、分表或数据归档策略时使用。当用户提到表结构、字段设计、索引优化、SQL 脚本命名、分片、归档迁移时优先使用。

Skills

73

TencentBlueKing/bk-ci

处理 BK-CI Auth 模块时使用,例如 RBAC 权限校验、用户组与资源管理、IAM 集成、授权迁移和 OAuth2 认证。当用户要改权限平台实现而不是单次权限模型变更时优先使用。

Skills

73

centminmod/my-claude-code-setup

Generate, edit-from-reference, or analyze images with AI via OpenRouter (gemini, geminipro, riverflow, flux2, seedream, gpt5, gpt5.4; Cloudflare AI Gateway BYOK). Also analyze a video (--analyze-video, read-only — no video generated) into a text description for video prompts. Use when the user asks to generate an image, create a PNG, make an icon, make it transparent, edit with a reference, design a logo/banner, describe/analyze/explain an image ("what's in this image"), or describe/analyze a video ("what happens in this video").

Skills

73

google-deepmind/science-skills

Access protein metadata, function, taxonomy, and sequences across UniProtKB, UniParc, and UniRef. Use when searching for proteins, mapping identifiers, or retrieving functional annotations and publications. Don't use for sequence alignment, protein folding, or sequence similarity search (use specialized skills for those tasks).

Skills

73

google-deepmind/science-skills

Use when you want to search for or download experimentally-determined 3D structures for biomolecules (proteins, nucleic acids, bound ligands). Supports searching by sequence similarity, structure similarity, chemical and other attributes. Also use to get metadata about biomolecular structure experiments.

Skills

73

UnicomAI/wanwu

找表/找数端到端编排:在元数据型知识网络下用 ontology bkn object-type query 检索表/视图实例, 再在职责型知识网络下检索相关部门职责与治理边界,最后汇总为中文结论 (候选表 + 职责要点 + 下一步)。当用户问「表在哪、哪个视图、数据资产归属、谁负责这类数据」时使用。 所有 ontology CLI 执行均委托 ontology-core 完成;本 skill 不直接执行 CLI。

Skills

73

UnicomAI/wanwu

腾讯会议:会议管理与音视频协作助手。预约/创建/修改/取消会议、查询会议详情与会议号转换、查看参会成员/受邀人/等候室成员、查询用户会议列表(即将开始/进行中/已结束)、查询录制列表与下载地址、获取转写全文/段落/搜索、获取AI智能纪要(支持多语言翻译)、录制权限申请(预览+提交两步流程)、时间转换与版本检查、Agent意见箱反馈上报。当用户需要预约或管理腾讯会议、查看参会人员、查询会议录制或转写内容、获取智能纪要时使用;当用户访问录制相关内容(下载地址/转写/智能纪要)出现无权限错误时,自动发起录制权限申请流程;当Agent遇到以下任何情况时必须立即触发submit_feedback:工具缺失(功能不存在)、工具报错(返回错误码)、能力不足(参数/功能限制)、结果不符预期(数据异常)、改进建议(功能优化);如果用户提供的是9位会议号而非meeting_id,优先使用get_meeting_by_code转换后再操作。不要在以下场景触发:日程管理(非腾讯会议日程)、即时通讯/聊天、腾讯文档操作、企业微信审批流程、电话/PSTN拨号、视频剪辑或视频编辑、其他视频会议平台(Zoom/Teams/飞书/钉钉)。

Skills

73

UnicomAI/wanwu

IMA 个人笔记服务 API skill,用于管理用户的 IMA 笔记。支持搜索笔记、浏览笔记本、获取笔记内容、新建笔记和追加内容。 当用户提到笔记、备忘录、记事、知识库,或者想要查找、阅读、创建、编辑笔记内容时,使用此 skill。 即使用户没有明确说"笔记",只要意图涉及个人文档的存取(如"帮我记一下"、"我之前写过一个关于XX的东西"、"把这段内容保存下来"),也应触发此 skill。

Skills

73

UnicomAI/wanwu

Structure prediction for protein, nucleic-acid, and small-molecule complexes with Boltz-2 (Passaro & Wohlwend et al. 2025, github.com/jwohlwend/boltz). Reach for this skill to validate designed binders against a target, to co-fold a protein with a SMILES or CCD ligand, or to get an open-source AlphaFold3 alternative with optional binding-affinity prediction.

Skills

73

gridaco/grida

Establish what is actually true and current for the surface you are about to change — not just search. Grounding = locate the authoritative source and reconcile sources that disagree (code vs doc, migration vs schema, memory vs current code, live vs archived), not take the first hit. Use before any grep/find/explore of the codebase or docs, when deciding which of several definitions is the real one, or when a doc or memory conflicts with the code. Covers the source-of-truth hierarchy, reconciliation discipline, scoped ripgrep, and the docs/tags.yml + docsearch.py index.

Skills

73

NVIDIA/skills

Sparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformable attention across camera views and time for end-to-end 3D perception, with an instance bank for temporal tracking. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Sparse4D model. Trigger phrases include "train Sparse4D", "multi-camera 3D detection", "temporal 3D tracker", "sparse query 3D perception".

Skills

73

PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include "train PointPillars", "LiDAR 3D detection", "point-cloud object detection", "pillar-based 3D detector".

Skills

73

Optical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing defects, anomalies, or quality issues. Use when training, evaluating, exporting, or running inference for a TAO Optical Inspection model on AOI / quality-control data. Trigger phrases include "train optical inspection", "AOI defect detection", "Siamese defect classifier", "PCB / manufacturing inspection".

Skills

73

Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO workflow, pseudo labeling.

Skills

73

Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.

Skills

73

NVIDIA/skills

Use this skill when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in DOCA-native form: binding a DPDK port id to a `doca_dev` (`doca_dpdk_port_probe` / `doca_dpdk_port_as_dev`), converting `rte_mbuf` ↔ `doca_buf`, querying `doca_dpdk_cap_is_rep_port_supported`, or debugging `DOCA_ERROR_*` from a bridge call. Trigger even without "DOCA DPDK Bridge": "how do I add DOCA Flow to my DPDK app", "make a DPDK port visible to DOCA", "the bridge loads but every operation returns errors", "pkg-config --exists doca-dpdk-bridge fails", or "DOCA_ERROR_NOT_FOUND on port registration". Route elsewhere for fresh DOCA-native packet I/O (doca-eth), flow-rule programming (doca-flow), DOCA or DPDK install (doca-setup), or RDMA data movement (doca-rdma).

Skills

73

NVIDIA/skills

Use this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wiring doca_mmap / doca_buf_inventory / doca_buf for zero-copy I/O across libraries, driving doca_pe for completions, or DOCA Log's two-tier (--sdk-log-level vs app-side) model. Trigger even when the user does not say "DOCA Common" — typical implicit phrasings include "my tasks submit but nothing completes", "DOCA_ERROR_BAD_STATE from doca_ctx_start", "--sdk-log-level does nothing for my DOCA_LOG_DBG lines", "share a buf between doca_dma and doca_rdma", or "crashes far from the offending line". Refuse and route elsewhere for per-library questions in isolation (load doca-flow / doca-rdma / doca-eth alongside), installing DOCA (doca-setup), or doc lookup (doca-public-knowledge-map).

Skills

73

NVIDIA/skills

WARNING: guides potentially IRREVERSIBLE BlueField-4 hardware operations (PLDM firmware burns, ISO reflashes, power cycles, BMC factory resets) that can brick firmware, corrupt boot media, or cause outages — a maintenance window and rollback plan are required, and every mutating step is governed by doca-hardware-safety, loaded alongside. Use this skill for BlueField-4 (BF4) day-1 platform bring-up from the BMC: installing the BlueField/DOCA bundle ISO onto the DPU (Grace, the Arm complex) over UEFI HTTP Boot, PXE, or Redfish Virtual Media; the PLDM firmware-update flow (BMC, NIC firmware, SBIOS, ERoT) via the Redfish UpdateService and pldmtool; and a Grace Ubuntu image with optional cloud-init. Trigger on BlueField-4/BF4 bring-up phrasings even without "BF4": {bring up my new BlueField-4}, {the BlueField ISO will not boot over HTTP from the BMC}, {attach BF4 virtual media via Redfish}, {BF4 firmware Task stuck at Running}. BF3 bring-up, application launch, and library APIs belong to other skills.

Skills

73

Can't find what you're looking for? Evaluate a missing skill.