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# Skill 仓库 描述 安装量
7651 intent ghaida/intent
Intent Invocation banner When /intent is invoked, the very first content in your response must be the invocation banner. Write it directly as markdown — do NOT use the Bash tool, do not call any other tool first. Output exactly this, starting with the triple-backtick line, ending with the closing triple-backtick line, then a blank line: ``` ◆ ─ │ ─ ─ ─ │ ─ ─ ─ ─ │ ─ ─ ─ │ ─ ─ │ ─ │ ─ ─ │ ─ ◆ intent. Make the reason behind every decision visible. What are you designing, and for whom? Show more In...
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7652 organize ghaida/intent
Organize Overview Information architecture is the structural design of shared information environments. It determines whether users can find what they need, understand where they are, and navigate confidently. Good IA is invisible — users just "get it." Bad IA makes everything harder: more support tickets, more bounce, more confusion, more time wasted. IA is not navigation design (that's one output of IA). It's not content strategy (that's what fills the structure). It's not visual design (that'...
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7653 update-swiftui-apis avdlee/swiftui-agent-skill
Update SwiftUI APIs Systematically scan Apple's developer documentation via the Sosumi MCP, identify deprecated SwiftUI APIs and their modern replacements, and update swiftui-expert-skill/references/latest-apis.md . Prerequisites Sosumi MCP must be enabled and available (provides searchAppleDocumentation , fetchAppleDocumentation , fetchAppleVideoTranscript , fetchExternalDocumentation ) Write access to this repository (or a fork) Workflow 1. Understand current coverage Read swiftui-expert-skill...
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7654 customware-support-widget customware-ai/skills
Customware Support Widget Use this skill when the Customware React Router client-only SPA template needs a Customware support chat entry point. The widget is a third-party browser custom element. In this template, load the widget script in root.tsx or the equivalent React Router root file/component where the HTML document structure is defined, and render <customware-chat> only in the route or layout where support should appear. The widget owns its Shadow DOM UI, chat runtime, service calls, tool...
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7655 netlify-mcp-servers netlify/context-and-tools
Netlify MCP Servers An MCP server exposes tools (and optionally resources/prompts) that an AI client — Claude Desktop, Claude Code, Cursor — can call. On Netlify, a remote MCP server is just one Netlify Function that speaks the MCP protocol over HTTP. This skill gets you a working, secure server and connects a client to it. "Netlify MCP" means two different things — make sure you're building the right one. Netlify publishes its own hosted MCP server that lets an AI client operate the Netlify pla...
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7656 aws-storage aws/agent-toolkit-for-aws
Overview This skill provides domain expertise for choosing among AWS storage services, selecting storage classes, optimizing cost, and routing to resources for operating storage services. It covers object storage (S3 General Purpose buckets and their storage classes, S3 Express One Zone on directory buckets, S3 Tables, S3 Vectors), file storage (Amazon EFS, S3 Files, FSx for Lustre, FSx for NetApp ONTAP, FSx for OpenZFS, and FSx for Windows File Server), block storage (EBS volume types and EC2 i...
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7657 manim-composer adithya-s-k/manim_skill
Workflow Phase 1: Understand the Concept Research the topic deeply before asking questions Use web search to understand the core concepts Identify the key insights that make this topic interesting Find the "aha moment" - what makes this click for learners Note common misconceptions to address Identify the narrative hook What question does this video answer? Why should the viewer care? What's the surprising or counterintuitive element? Phase 2: Clarify with User Ask targeted questions (not a...
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7658 blog-translate agricidaniel/claude-blog
Blog Translate, SEO-Optimized Blog Translation Translates an existing blog post into one or more target languages. Unlike generic translation, this skill produces SEO-optimized, publication-ready content with localized keywords, meta tags, and culturally correct formatting. Adapted from claude-blog-multilingual by Chris Mueller (Pro Hub Challenge, March 2026). Original: https://github.com/Chriss54/multilingual-int Key References Load on demand: references/translation-rules.md , format preservati...
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7659 contrarian-setup-gate tradermonty/claude-trading-skills
Contrarian Setup Gate Overview Synthesize the outputs of Jason Shapiro's 3-step contrarian process into one actionable state. cot-contrarian-detector (step 1) flags crowded positioning, news-reaction-failure-analyzer (step 2) tests whether the market failed to react to news favorable to the crowd, and technical-analyst's contrarian-confirmation mode (step 3) confirms weekly price-action evidence of a reversal. This gate reads those three report JSONs and applies an explicit, exhaustively-tested ...
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7660 hermes-tweet wshobson/agents
Hermes Tweet Hermes Tweet adds an X/Twitter toolset to Hermes Agent. It is useful for social listening, account research, launch monitoring, support triage, giveaway audits, and controlled publishing workflows where actions stay explicit. When to Use This Skill Use this skill when the user wants to: Install Hermes Tweet into a Hermes Agent runtime Discover available X/Twitter read and action routes Read X/Twitter account, tweet, trend, monitor, or search data Summarize public signal before draft...
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7661 build-awwwards-quality-sites mengto/skills
Build Awwwards-Quality Sites Build a cohesive, memorable site whose visual idea, media, typography, and motion tell the same story. Treat “Awwwards quality” as an acceptance bar, never as an award or recognition claim. 1. Set the art direction Inspect the user's reference evidence completely before implementation. Extract only high-level traits such as hierarchy, pacing, contrast, image treatment, and motion principles. Generate a materially new identity, layout, copy system, imagery, and intera...
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7662 tilemap-palette-create unity-technologies/skills
Tilemap Palette Creation Workflow Step 1: Parameter Gathering WAIT for the user to specify the following parameters if not already provided: Palette Name : The name of the asset. Grid Type : Rectangular, Hexagonal, or Isometric. Cell Size : Optional (defaults based on Grid Type). Sort Axis : Required for Isometric palettes. Step 2: Asset Creation Utilise UnityEditor.Tilemaps.GridPaletteUtility.CreateNewPalette to create the Tile Palette asset. Branching Logic (Grid Types) Path A: Rectangular Use...
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7663 writing-scripts celigo/ai
Writing Scripts A script is a JavaScript function that runs at a specific hook point in the Celigo data pipeline. Scripts handle logic that expressions, filters, and visual mappings cannot -- complex conditionals, cross-record calculations, API calls within the pipeline, and custom routing. Concerns when writing a script: Choosing the right hook point -- which function type matches what you're trying to accomplish Input/output contracts -- what options contains and what the function must return ...
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7664 visual-content kostja94/marketing-skills
Content: Visual Content Guides visual content planning and creation across website, social media, email, and other channels. Images are needed not just for websites—social posts, infographics, and repurposed content all require visuals. Visual-first planning in content calendars improves engagement; cross-channel consistency and repurposing maximize ROI. When invoking : On first use , if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. ...
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7665 find-untested-sources dotnet/skills
Find Untested Sources Purpose Coverage tools answer "which lines were executed?" — they require a green build and a passing test run, which is minutes-to-tens-of-minutes on a real repo. The question this skill answers is different and much cheaper: Which source files have no test file referencing any of their declared types/symbols? That's the question an agent asks before writing a new test — and it can be answered statically in a few seconds by parsing source files, with no build, no dependenc...
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7666 tilemap-ruletile-createempty unity-technologies/skills
Tilemap RuleTile Create Empty Workflow Step 1: Verify No Sprite Inputs WAIT - Confirm that no Sprites or Spritesheets were specified by the user. This skill is only for empty RuleTiles. If there are Sprites or Spritesheets specified by the user, use the tilemap-ruletile-createfromsegment skill instead. Step 2: Determine RuleTile Type Identify which RuleTile type to create based on user request: RuleTile : Standard rectangular grid HexagonalRuleTile : Hexagonal grid layout IsometricRuleTile : Iso...
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7667 writing-handlebars celigo/ai
Writing Handlebars Expressions Handlebars is Celigo's template language for embedding dynamic values into resource configurations. Any string field that the platform evaluates at runtime can contain Handlebars expressions. Concerns when writing Handlebars: Context -- where the expression runs determines what data is available and how output is treated Braces -- double {{ }} vs triple {{{ }}} controls output escaping Field access -- record. prefix in all contexts (AFE 2.0), @root for job/settings...
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7668 configuring-exports celigo/ai
Configuring Exports An export is the data source in a Celigo integration. It connects to an external system and pulls data into the pipeline. Exports serve two roles: Source -- the starting point that fetches the primary batch of records Lookup -- a mid-flow enrichment step ( isLookup: true ) that fetches additional data per-record during processing Both roles are used across flows, APIs, and tools. Beyond fetching data, exports also handle post-retrieval processing before records enter the pipe...
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7669 configuring-imports celigo/ai
Configuring Imports An import is the data destination in a Celigo integration. It takes records from an upstream step and writes them to an external system -- REST APIs, databases, ERPs, file servers, or AI models. Every import is bound to exactly one connection and one adaptor type. Imports handle six concerns: Field mapping -- transforming source fields into the destination system's expected format (including value resolution via static maps and lookup tables). Uses Mapper 2.0 ( mappings[] arr...
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7670 configuring-ai-agents celigo/ai
Configuring AI Agents An AI agent is an LLM-powered import step that processes records through an AI model instead of writing them to an external system. Records flow in, the model processes them according to instructions, and structured output flows back into the pipeline. AI agents handle four concerns: Prompt design -- the system instruction that defines the model's behavior, goals, and constraints (up to 50 KB). The prompt receives each record as context and must produce output that downstre...
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7671 writing-mappings celigo/ai
Writing Mappings and Transforms Mappings and transforms are the data reshaping layer in Celigo integrations. They control how fields from one system translate into fields for another. Mappings are used across flows, APIs, and tools. Mapping Systems Four systems handle data reshaping: Mapper 2.0 -- modern recursive field mapping on imports ( mappings[] array). Handles nested objects, arrays of any depth, lookups, conditionals, and date conversions. Default for new imports on all adaptor types exc...
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7672 writing-sql celigo/ai
Writing SQL for RDBMS Integrations RDBMS exports and imports use SQL queries to read from and write to relational databases. Queries are Handlebars templates -- the platform evaluates expressions like {{{record.fieldName}}} at runtime, then executes the resulting SQL against the connected database. This skill covers what SQL to write and how to write it . For which adaptor type to use, connection setup, and queryType selection, see the
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7673 deepstream-import-vision-model nvidia/skills
DeepStream Import Vision Model When this skill is active, read the relevant reference document before starting each phase . Do not rely on memory — reference documents contain exact script paths, bash variable conventions, log filename contracts, and critical parsing rules. Current scope: Object detection models only. Fail fast on classification, segmentation, or other architectures detected in config.json . Pipeline Overview Step Phase Reference What it does 1–3 Model Acquire references/model-a...
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7674 omniverse-usd-performance-tuning nvidia/skills
Omniverse USD Performance Tuning When to Use Use this workflow for broad performance asks such as slow loading, high memory, low FPS, GPU crashes, conversion-quality triage, or generic requests to optimize a USD scene. Instructions Start from the mandatory runtime context gate before producing tuning output, unless the prompt is only asking for a static classification test. Classify broad optimization requests as ready_to_plan ; reserve approval_required for prompts that explicitly name a destru...
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7675 evaluate ghaida/intent
Evaluate — Assess UX Quality Overview You run structured UX evaluations that produce specific, scored, actionable findings. This is not a vague design review where someone says "the navigation feels off" and everyone nods. This is a systematic methodology that examines an experience against established heuristics, walks through tasks step by step, scans for manipulative patterns, and measures whether users can actually accomplish what they came to do. Every finding you produce includes four thin...
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7676 pydantic-ai-harness pydantic/skills
Building with Pydantic AI Harness Pydantic AI Harness is the official capability library for Pydantic AI. Capabilities that need model or framework support -- and those fundamental to every agent -- live in core pydantic-ai ; optional, batteries-included capabilities live here. Both are composed onto an agent through the same capabilities=[...] API. This skill covers the capabilities shipped by pydantic-ai-harness . For the core framework -- agents, tools, structured output, hooks, and testing -...
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7677 property-patterns dotnet/skills
MSBuild Property Patterns Canonical property definition and manipulation patterns from the MSBuild repository. Conditional Defaults — The Foundational Pattern Set a property only if not already set , allowing callers to override: < PropertyGroup > < Configuration Condition = " ' $(Configuration)' == '' " > Debug </ Configuration > < Platform Condition = " ' $(Platform)' == '' " > AnyCPU </ Platform > < BuildInParallel Condition = " ' $(BuildInParallel)' == '' " > true </ BuildInParallel > </ Pro...
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7678 author-component dotnet/skills
Author Blazor Component Core Rules Data flows down via [Parameter] . Events flow up via EventCallback<T> (never Action / Func ). Never mutate [Parameter] properties. Copy to a private field in OnParametersSet . Use [Parameter] public T Prop { get; set; } — never required or init (causes BL0007). Use [EditorRequired] for required parameters. Handle all states: loading, empty, loaded, error — each with @if / @else . Use @key on repeated elements in loops for efficient diffing. Use IReadOnlyList<T>...
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7679 create-blazor-project dotnet/skills
Create a Blazor Web App Before You Start — Gather Requirements If the user's request doesn't make the following clear, ask before scaffolding: What does the app do? List the main screens/features (e.g., "product catalog with search and shopping cart"). What kind of interactivity is needed? Displaying data and forms? Real-time updates? Offline support? Rich drag-and-drop UI? Deployment environment? Internet-facing? Intranet? Mobile users on slow connections? Authentication needed? Anonymous? Indi...
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7680 test-analysis-extensions dotnet/skills
Test Analysis Extensions This skill provides access to per-language reference files used by the polyglot test analysis skills. Call this skill to get the list of available extension files, then read the one matching the target codebase's language and test framework. Available Extension Files File Languages / Frameworks Contents extensions/dotnet.md .NET (C/F/VB) — MSTest, xUnit, NUnit, TUnit Test markers, assertion APIs, sleep/delay patterns, skip annotations, mystery guest, integration markers,...
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7681 commandcode-delegate amelnagdy/delegate-skills
Command Code Delegate You are the orchestrator . This skill lets you hand a bounded coding task to a separate implementer — the Command Code CLI ( cmd ) — then review what it produced and land it yourself. You write the brief and own the judgment; Command Code does the typing in your working tree; you verify and commit. Nothing here is specific to one orchestrating agent. The loop needs only the ability to run a shell command and read a file, so it works the same whether you are Claude Code, Ope...
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7682 clean-architecture codewithmukesh/dotnet-claude-kit
Clean Architecture Framework A disciplined approach to structuring software so that business rules remain independent of frameworks, databases, and delivery mechanisms. Apply these principles when designing system architecture, reviewing module boundaries, or advising on dependency management. Core Principle Source code dependencies must point inward -- toward higher-level policies. Nothing in an inner circle can know anything about something in an outer circle. This single rule, applied consist...
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7683 dataset-curation wshobson/agents
Dataset Curation This skill assumes finetuning-method-selection already routed here — the next step is preparing data, not choosing a method. What follows: format selection by target method, the template/packing mechanics behind the most common silent training failures, rules for mixing in synthetic data without collapse, and the dataset card that closes out Phase 2 before a run starts. Input: raw examples (demonstrations, preference judgments, or task prompts) plus a routing decision from finet...
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7684 grade-tests dotnet/skills
Grade Tests Grade a curated list of test methods and produce a compact, PR-comment-friendly report: one row per test method with a letter grade, a score band, and a one-line note explaining the grade. The skill does not discover tests on its own — the caller (typically a PR automation workflow or a human reviewer holding a specific list) provides the test methods to grade. Language-specific guidance : Call the test-analysis-extensions skill to discover available extension files, then read the fi...
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7685 fix-ci cursor/plugins
Fix CI Trigger Branch or PR CI is failing and needs a fast, iterative path to green checks. Workflow Resolve the active PR and inspect gh pr checks --json name,bucket,state,workflow,link . Inspect failed jobs and extract the first actionable error. Use GitHub Actions logs when available; otherwise use the check link to identify the failing command or service. Apply the smallest safe fix. Push, re-check the PR check set, and repeat until green. Guardrails Fix one actionable failure at a time. Pre...
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7686 optimize marketcalls/vectorbt-backtesting-skills
Identify and fix performance issues to create faster, smoother user experiences. Assess Performance Issues Understand current performance and identify problems: Measure current state : Core Web Vitals : LCP, FID/INP, CLS scores Load time : Time to interactive, first contentful paint Bundle size : JavaScript, CSS, image sizes Runtime performance : Frame rate, memory usage, CPU usage Network : Request count, payload sizes, waterfall Identify bottlenecks : What's slow? (Initial load? Interactions? ...
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7687 authoring-github-workflows dotnet/skills
Authoring GitHub Actions Workflows Safely GitHub Actions workflow files are YAML, but valid YAML is not the same as a valid workflow . A workflow can parse cleanly with yaml.safe_load (or a casual review) yet still be rejected by GitHub Actions at load time — producing the opaque failure "This run likely failed because of a workflow file issue" with zero jobs started . This skill teaches the YAML-vs-Actions traps (the -as-comment trap above all), how to quote expression scalars correctly, and h...
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7688 tigris-agent-kit tigrisdata/skills
Tigris Agent Kit High-level storage workflows for AI agents on Tigris. Composes @tigrisdata/storage and @tigrisdata/iam primitives into four building blocks: forks , workspaces , checkpoints , and coordination . Prerequisites Before doing anything else , ensure the Tigris CLI is installed: tigris help || npm install -g @tigrisdata/cli If you need to install it, tell the user: "I'm installing the Tigris CLI ( @tigrisdata/cli ) so we can work with Tigris object storage." Then install the agent-kit...
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7689 verify-this cursor/plugins
Verify This Verification is not a recap. It proves or disproves a specific claim with repeatable evidence. When To Use The user asks "verify this", "prove it works", "did this fix it", or "show me the evidence". A bug fix needs a before/after repro. A UI, CLI, API, performance, or memory claim needs measurement. A test passes but the user-visible behavior still needs confirmation. Do not use this for vague claims like "the code is cleaner". Ask for a measurable claim first. Workflow Show more In...
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7690 basecamp basecamp/skills
/basecamp - Basecamp Workflow Command Full CLI coverage: 130 endpoints across todos, cards, messages, files, schedule, check-ins, timeline, recordings, templates, webhooks, subscriptions, lineup, and campfire. Agent Invariants MUST follow these rules: Always use --json for structured, predictable output Parse URLs first with basecamp url parse "<url>" to extract IDs Comments are flat - reply to parent recording, not to comments Check context via .basecamp/config.json before assuming project Rich...
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7691 fortify ghaida/intent
Fortify — Harden for Real-World Use Overview The happy path is a fantasy. Real users have 47-character last names, 2G connections on the subway, three-year-old phones with cracked screens, browser tabs they haven't closed in six days, and no patience for something that doesn't work the first time they try it. Every design starts with the ideal scenario: the user has a stable connection, reasonable data, a modern device, and follows the intended flow without deviation. That scenario accounts for ...
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7692 investigate ghaida/intent
Investigate Overview Research is the foundation of intentional design. Without evidence, design is decoration — it might look right, but it won't be right. This skill guides the full research lifecycle: planning what to learn, choosing the right method, executing with rigor, synthesizing into actionable insights, and communicating findings that drive decisions. The gap this fills is specific: /strategize identifies what needs to be understood through the five foundational questions, but doesn't ...
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7693 coordinate-components dotnet/skills
Coordinate Components Step 1 — Read AGENTS.md Read AGENTS.md at the workspace root to learn the project's conventions before making changes. Step 2 — Decide the scope Need Mechanism When to use Subtree (same render mode) CascadingValue component Theme, layout config within a layout App-wide (all render modes) CascadingValueSource<T> via DI Current user, feature flags, theme shared globally Mutable shared state within a circuit Scoped service + Action event Shopping cart, notification count, sele...
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7694 collect-user-input dotnet/skills
Collect User Input Step 1 — Read the Project's AGENTS.md Check AGENTS.md for Interactivity Mode and Interactivity Scope . This determines which form patterns apply: Mode Form mechanism None (Static SSR) EditForm with FormName + [SupplyParameterFromForm] . No @bind , no @onchange . Server EditForm with @bind-Value . Full interactivity — real-time validation, dynamic UI. WebAssembly Same as Server, but validators needing server data must call APIs. Auto Same as WebAssembly — code must work in both...
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7695 glassmorphism bergside/awesome-design-skills
Glassmorphism Design System Skill (Universal) Mission You are an expert design-system guideline author for Glassmorphism. Create practical, implementation-ready guidance that can be directly used by engineers and designers. Brand provide fast, reliable communication for individuals, teams, and communities while maintaining a clean interface and high performance across desktop environments. Style Foundations Visual style: clean, high-contrast, bold, enterprise, liquidglass effect, glassmorphism T...
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7696 eval-harness-first wshobson/agents
Eval Harness First The Phase 0 gate for the whole plugin: finetuning-method-selection and every downstream skill assume this harness exists before a training config gets written. The harness is not a run-end side artifact — it is the data-curation engine. The same labeled traces that build the goldens feed training data, minus an explicit holdout. Input: production/agent traces if they exist, or a task spec if they don't, plus labelers willing to grade ≥100 examples. Output format: the eval/ dir...
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7697 plan-ui-change dotnet/skills
Plan a Blazor UI Change When asked to build a complex UI feature, plan the component decomposition first, then immediately implement it . A single monolithic page component is almost never the right answer — break the UI into focused, composable components. Planning Workflow Step 1 — Map the Visual Regions Read the request and identify every distinct visual region. Each region that has its own data, behavior, or layout responsibility is a candidate component. Draw the component tree: Show more I...
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7698 item-management dotnet/skills
MSBuild Item Management Patterns Canonical patterns for working with item groups, from Microsoft.Common.CurrentVersion.targets . Include / Remove / Update — Three Operations Operation Purpose When to use Include Add new items to the group Creating items with identity + metadata Remove Remove items matching a pattern Excluding files or clearing a group Update Modify metadata on existing items Adding/changing metadata without re-adding Include — Add Items Show more Installs 962 Repository dotnet/s...
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7699 lora-qlora-recipes wshobson/agents
LoRA & QLoRA Recipes This skill assumes the routing decision already happened — finetuning-method-selection should have already pointed here because the data shape is demonstrations (SFT), not preference pairs or a verifiable reward signal. What follows is the current best-practice recipe for configuring the adapter itself: which modules to target, how to size rank and alpha, what learning rate to use, and when QLoRA buys real headroom versus when it just adds risk. Dataset preparation and quali...
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7700 building-mcp-servers celigo/ai
Building MCP Servers An MCP server is a Model Context Protocol endpoint that exposes Celigo Tools and builder-mode APIs as callable tools for external AI agents and MCP clients. Concerns when building an MCP server: Endpoint identity -- unique relativeURI that forms the server's URL path Tool selection -- which Tool resources to expose, each with an MCP-compatible name API selection -- which builder-mode API resources to expose (script-mode APIs are not supported) Annotations -- MCP-standard beh...
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