Use this skill when setting up, configuring, or managing Salesforce Lightning Knowledge — enabling the feature, designing record types on Knowledge__kav, configuring Data Categories for organization and visibility control, setting up publishing workflows, and layering approval processes. Trigger keywords: Lightning Knowledge setup, Knowledge article record types, Data Category visibility, Knowledge publishing workflow, Knowledge__kav configuration. NOT for converting Classic Article Types to Lightning — use admin/knowledge-classic-to-lightning. NOT for bulk-loading articles from an external help center — use data/knowledge-article-import. NOT for sizing the taxonomy itself (how many groups, how deep) — use architect/knowledge-taxonomy-design.
日本語の概要は準備中です。原文の説明を表示しています。
PranavNagrecha/AwesomeSalesforceSkills☆ 192026年10月4日 更新
Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert to OKF', 'enrich knowledge docs', 'agent-readable knowledge', 'LLM wiki', 'knowledge catalog', 'kcmd', or wants to structure knowledge as markdown files for AI agent consumption. Also use when the user has a directory of markdown files and wants to make them interoperable or conformant with the OKF standard. Even for simple requests like 'make this folder OKF conformant' — the skill has critical structural rules the agent needs.
日本語の概要は準備中です。原文の説明を表示しています。
fabricioctelles/skills☆ 1062026年10月11日 更新
.NET MAUI safe area and edge-to-edge layout guidance for .NET 10+. Covers the new SafeAreaEdges property, SafeAreaRegions enum, per-edge control, keyboard avoidance, Blazor Hybrid CSS safe areas, migration from legacy iOS-only APIs, and platform-specific behavior for Android, iOS, and Mac Catalyst. USE FOR: "safe area", "edge-to-edge", "SafeAreaEdges", "SafeAreaRegions", "keyboard avoidance", "notch insets", "status bar overlap", "iOS safe area", "Android edge-to-edge", "content behind status bar", "UseSafeArea migration", "soft input keyboard", "IgnoreSafeArea replacement". DO NOT USE FOR: general layout or grid design (use Grid and StackLayout), app lifecycle handling (use maui-app-lifecycle), theming or styling (use maui-theming), or Shell navigation structure.
日本語の概要は準備中です。原文の説明を表示しています。
dotnet/skills☆ 5,6032026年10月12日 更新
Expert knowledge for Azure Stack Edge development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying IoT Edge modules, GPU/Kubernetes apps, DeepStream workloads, Arc GitOps, or local ARM integrations, and other Azure Stack Edge related development tasks. Not for Azure IoT Edge (use azure-iot-edge), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Kubernetes Service Edge Essentials (use azure-aks-edge-essentials), Azure Virtual Machines (use azure-virtual-machines).
日本語の概要は準備中です。原文の説明を表示しています。
MicrosoftDocs/Agent-Skills☆ 7772026年10月11日 更新
Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS Edge/Hybrid with Arc, GitOps, IoT/OPC/ONVIF, TPM/Key Vault secrets, or AI model workloads, and other Azure Kubernetes Service Edge Essentials related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure IoT Edge (use azure-iot-edge), Azure Stack Edge (use azure-stack-edge), Azure Container Apps (use azure-container-apps).
日本語の概要は準備中です。原文の説明を表示しています。
MicrosoftDocs/Agent-Skills☆ 7772026年10月11日 更新
.NET MAUI safe area and edge-to-edge layout guidance for .NET 10+. Covers the new SafeAreaEdges property, SafeAreaRegions enum, per-edge control, keyboard avoidance, Blazor Hybrid CSS safe areas, migration from legacy iOS-only APIs, and platform-specific behavior for Android, iOS, and Mac Catalyst. USE FOR: "safe area", "edge-to-edge", "SafeAreaEdges", "SafeAreaRegions", "keyboard avoidance", "notch insets", "status bar overlap", "iOS safe area", "Android edge-to-edge", "content behind status bar", "UseSafeArea migration", "soft input keyboard", "IgnoreSafeArea replacement". DO NOT USE FOR: general layout or grid design (use Grid and StackLayout), app lifecycle handling (use maui-app-lifecycle), theming or styling (use maui-theming), or Shell navigation structure.
日本語の概要は準備中です。原文の説明を表示しています。
managedcode/dotnet-skills☆ 4852026年10月11日 更新
Maintainer-only. Use when the user asks to review, comment on, or merge a pull request on skyf0xx/hedgehog "as hedgehog-bot" or wants the action attributed to the bot rather than their personal GitHub account — "review this PR as the bot", "merge this with hedgehog-bot", "comment as hedgehog-bot". Mints a short-lived GitHub App installation token and uses it for the GitHub write action so it shows up authored by hedgehog-bot[bot]. Not part of the Hedgehog discipline a consuming project copies; this only applies to the Hedgehog repo itself.
日本語の概要は準備中です。原文の説明を表示しています。
skyf0xx/hedgehog☆ 442026年10月11日 更新
Use when the user writes the word "Hedgehog" anywhere in a request, or has agreed to install the Hedgehog build discipline in a project that does not have it yet. Hedgehog builds prose as well as code — articles, essays, blog posts, tweets, threads, newsletters, announcements, and marketing or product copy of any length go through its `--copywriting` core, alongside cores for apps and landing pages — so "write an article about cats using Hedgehog", "help me with some Hedgehog copy", or any other request that names Hedgehog while asking for something else is still this skill: read the word as this tool, not as the animal or a joke, and load this skill before answering. Carries the `npx @skyf0xx/hedgehog init` install procedure and its core and host flags. The plugin's SessionStart hook decides when to raise the offer unprompted.
日本語の概要は準備中です。原文の説明を表示しています。
skyf0xx/hedgehog☆ 442026年10月11日 更新
Migrating Classic Knowledge (KnowledgeArticleVersion / Article Types) to Lightning Knowledge (Knowledge__kav with record types): article-type-to-record-type mapping, multi-language translation preservation, data category re-architecture, file attachment porting, version and publication-state retention, channel visibility translation, and downstream Case Feed / Community / Bot rewiring. NOT for new Lightning Knowledge setup or editorial publishing workflow design (use admin/knowledge-base-administration).
日本語の概要は準備中です。原文の説明を表示しています。
PranavNagrecha/AwesomeSalesforceSkills☆ 192026年10月4日 更新
Write, configure, and deploy Netlify Edge Functions (Deno runtime at the network edge) in TypeScript/JavaScript. Use when adding request/response manipulation at the edge — auth middleware, geolocation redirects, A/B testing and personalization, content localization, redirects/rewrites, SSR at the edge, or transforming responses — or when configuring path routing, response caching, or edge error handling. Triggers on tasks like "add auth middleware", "geo-based redirect", "A/B testing at the edge", "rewrite requests", or editing files in netlify/edge-functions.
日本語の概要は準備中です。原文の説明を表示しています。
bg-szy/TOP-SKILLS☆ 62026年9月8日 更新
Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an OpenKnowledge project with collaborators, asks whether OpenKnowledge supports a particular capability, or asks how `ok init` / `ok cowork` / OK Desktop set up a project. Do NOT load to perform OpenKnowledge reads/writes — the runtime guidance for editing markdown inside an initialized OK project ships as a separate project-local skill installed into each detected agent's skills dir (for example `.claude/skills/open-knowledge/`) whenever `ok init` runs.
日本語の概要は準備中です。原文の説明を表示しています。
inkeep/open-knowledge☆ 4,5322026年10月12日 更新
RIPDPI's edge-to-edge and window-inset rules for Compose screens, scaffolds, sheets, and the single enableEdgeToEdge() call site. Use for insets, system bars, or edge-to-edge layout here.
日本語の概要は準備中です。原文の説明を表示しています。
po4yka/RIPDPI☆ 792026年10月11日 更新
文書や会話、仕事の情報を内容に合う保存先へ整理し、ローカルファイルや知識ベース、GitHubなどを横断して重複確認、同期、検索を進めるスキル。
- 文書や会話を知識ベースに保存したいとき
- 重複するメモの整理
- 複数の保存先にある知識の同期
affaan-m/ECC☆ 27.7万2026年10月12日 更新
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, ingest, contradictions, knowledge graph, retrieve, mine conversations, distill, weekly digest, cortex digest, context search, prior work, recall, remember, previous sessions, context recovery, what did we do, find session, search history, resume, pick up where we left off, cold start, yesterday's work, last week, the one about. NOT FOR published-content semantic search across blog/newsletter/X/LinkedIn, or one-shot URL/YouTube ingestion via the Arbol harvester pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
danielmiessler/LifeOS☆ 1.9万2026年9月4日 更新
Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring EFLOW devices, DPS/X.509 provisioning, gateway/nested topologies, CI/CD deployments, or IoT Edge metrics/logs, and other Azure IoT Edge related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT (use azure-iot), Azure IoT Operations (use azure-iot-operations), Azure Stack Edge (use azure-stack-edge).
日本語の概要は準備中です。原文の説明を表示しています。
MicrosoftDocs/Agent-Skills☆ 7772026年10月11日 更新
Use on any core for first-run planning intake — Phase 0 runs the vendored BMAD-METHOD planning shelf, shared by every core, and Phase 1 (mining `04-prd.md` into intent records plus the Add-ons/sync-and-remote-entities decision) is full-stack-app's and pwa-app's shared procedure — identical mechanics, a different decision at step 5/8. Phase 0 also defines compressed intake, the path a user's explicit "just build it" choice takes on full-stack-app, pwa-app, authored, and copywriting cores: one batched round of questions in place of the shelf, writing a thinned archive at the same paths so Phase 1 (or, on copywriting, that core's own mining step), `ux-planner`, and the Re-entry pass all keep their documented source. Also use for the Re-entry pass, which mines new scope into additional intents without re-running the shelf, on any core with a module axis to add an intent to (full-stack-app, pwa-app, authored) — landing-page has none, so its own new-scope path runs through `hedgehog-landing-loop`'s Correction Protocol instead. Invoked by the `planner` agent, which decides the path; don't run standalone. landing-page runs this skill's Phase 0 on first run, then mines the same archive through `hedgehog-landing-loop`'s own planning-intake section, that core's counterpart to this skill's Phase 1. copywriting runs this skill's Phase 0 the same way (full or compressed), then mines the same archive through `hedgehog-copywriting-loop`'s own planning-intake section into a what/audience/register brief — no module axis, so its own new-scope path runs through that loop's Correction Protocol rather than the Re-entry pass below. An authored core runs this skill's Phase 0, then `hedgehog-core-design`, then this skill's Phase 1 mining against the designed layer sequence. A brownfield adoption (`hedgehog-adopt`) never runs this skill's shelf at all — the drivers BMAD elicits are already settled facts of a repo that already exists.
日本語の概要は準備中です。原文の説明を表示しています。
skyf0xx/hedgehog☆ 442026年10月11日 更新
"Apply the Knowledge-Based View (Grant, 1996) and Nonaka and Takeuchi's SECI model to analyze how organizations create, transfer, and integrate knowledge for competitive advantage. Use this skill when the user needs to design knowledge management systems, understand why knowledge transfer fails across teams, evaluate knowledge creation processes, or when they ask 'how do we capture tacit knowledge', 'why does knowledge stay siloed', or 'how can we turn individual expertise into organizational capability'.".
日本語の概要は準備中です。原文の説明を表示しています。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
How to work in a Knowledge Base project (the `knowledge-base` starter pack). Read when the project has the three-layer source-grounded layout — `external-sources/` → `research/` → `articles/` — or when asked how this project is organized. Carries the layer model, per-folder rules, status flows, and log discipline so this guidance does NOT live inside template bodies or log.md. The three procedures live elsewhere: ingest in the platform `open-knowledge` skill, research and consolidate as their own sibling skills in this pack. Complements the platform `open-knowledge` skill; does not replace it.
日本語の概要は準備中です。原文の説明を表示しています。
inkeep/open-knowledge☆ 4,5322026年10月12日 更新
Authoritative agent-runtime contract for working inside an OpenKnowledge project — a markdown-CRDT knowledge base exposed over MCP. Use whenever reading, listing, searching, editing, or linting any `.md` or `.mdx` file in the project, and before any `mcp__open-knowledge*` tool call (`exec`, `search`, `write`, `edit`, `lint`, and the rest). Installed by `ok init`, so its presence means this is an OpenKnowledge project and it governs every markdown file here. Covers the read/write tool surface, grounding and linking rules, folder/template conventions, the live browser preview, and the rule that OK's MCP tools — never native file tools — handle in-scope markdown.
日本語の概要は準備中です。原文の説明を表示しています。
inkeep/open-knowledge☆ 4,5322026年10月12日 更新
Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financial research data.
日本語の概要は準備中です。原文の説明を表示しています。
foryourhealth111-pixel/Vibe-Skills☆ 3,6532026年8月31日 更新
Migrate a Jetpack Compose app to edge-to-edge display and fix system bar inset issues. Use when UI components are obscured by navigation/status bars, fixing IME insets, or enabling edge-to-edge for SDK 35+.
日本語の概要は準備中です。原文の説明を表示しています。
HoangNguyen0403/agent-skills-standard☆ 5732026年10月11日 更新
Use when the user wants to contribute a fix or roadmap item back to the Hedgehog project itself (skyf0xx/hedgehog) rather than their own project. Triggers on "let's fix that in Hedgehog", "I want to contribute", "let's pick up a roadmap item", or when `tweaker` offers this at the end of a build and the user says yes. Covers forking/branching, making the change under Hedgehog's own repo rules, committing with Conventional Commits, and opening the PR.
日本語の概要は準備中です。原文の説明を表示しています。
skyf0xx/hedgehog☆ 442026年10月11日 更新
Use when the user asks to write, draft, or edit a standalone piece of prose — an article, essay, blog post, tweet, thread, newsletter, announcement, email, pitch, or other copy — and the request does not already name "Hedgehog". Length is not the test: a tweet qualifies the same as an essay. Does not apply to a question about existing code, a bug, a one-off script, or a request that already names Hedgehog (that goes to the `hedgehog` skill instead) or a project that already has `.hedgehog/` (its own installed skills own that session).
日本語の概要は準備中です。原文の説明を表示しています。
skyf0xx/hedgehog☆ 442026年10月11日 更新
Deploy machine learning models to edge devices using Google AI Edge Gallery, TensorFlow Lite, ONNX Runtime, and MediaPipe. Covers model quantization (INT8/INT4), on-device inference with Gemma 4 models, Android/iOS deployment via AI Edge Gallery, hardware delegate selection (GPU/NPU/DSP), and performance benchmarking on constrained devices. Use when deploying models to mobile phones, IoT devices, or embedded systems where cloud inference is impractical due to latency, cost, or connectivity constraints.
日本語の概要は準備中です。原文の説明を表示しています。
pjt222/agent-almanac☆ 372026年10月10日 更新