Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
Dicklesworthstone/pi_agent_rust Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows. | Skills | |
ruvnet/agentic-flow Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms | Skills | |
bap-jorkim/agent-skills-fork-feb-25 Autonomous multi-agent task orchestration with dependency analysis, parallel tmux/Codex execution, and self-healing heartbeat monitoring. Use for large projects with multiple issues/tasks that need coordinated parallel execution. | Skills | |
0xRabbidfly/Eric-Cartman Interactive wizard that guides you through creating a comprehensive agentic development scaffold. Use when starting a new project or adding AI capabilities to an existing codebase. Asks about project goals, tech stack, team size, and workflows, then generates custom instructions, skills, agents, and MCP configurations. | Skills | |
v0.27.0 Discover and apply best practice skills automatically. Gap analysis scans the codebase, skill-search fills gaps from the registry, skill-classifier separates proactive from reactive skills, quality-standards generates CLAUDE.md guidance, self-review compares code against checklists, and verification-strategy sets up test/lint/typecheck feedback loops. Contains: gap-analysis Scan a project for practice gaps — missing domains, weak implementations, and new technology areas. Use when starting a new project, joining an existing codebase, beginning a major feature (3+ new files), or when the PreToolUse gate hook blocks a write. Produces a structured gap report that drives skill-search and downstream skills. quality-standards Generate project-level quality standards in CLAUDE.md from installed proactive skills. The quality block is the single biggest lever for code quality (4x improvement in experiments). Use after skill-classifier runs, when the skill set changes, or when the user asks "update my quality standards", "what standards should I follow". self-review Compare your code against installed proactive skill checklists and fix gaps. Use after committing, after completing a feature, before submitting a PR, or whenever you want to verify your code meets quality standards. Can be triggered by a post-commit hook, a periodic check, or a direct request like "review your code", "check quality", "did you follow the skills". skill-classifier Classify installed skills as proactive (apply to all code, review at every commit) or reactive (domain-specific, use only when working in that domain). Use after installing new skills via skill-search. The classification drives which skills quality-standards includes in CLAUDE.md and which skills self-review checks against. skill-discovery Orchestrates practice gap discovery and quality improvement. Coordinates gap-analysis, skill-search, skill-classifier, quality-standards, and self-review skills. Use when starting a new project, joining an existing codebase, beginning a major feature, or when the user asks "what skills do I need", "find best practices", "audit this project". skill-search Search the Tessl registry for skills that fill practice gaps identified by gap-analysis. Uses a two-pass strategy: first find language-agnostic best practice skills, then find technology-specific skills for the project's stack. Use after gap-analysis identifies gaps, when entering a new technology domain, or when the user asks "find skills for X", "what best practices exist for Y". verification-strategy Set up self-verification before building features — test runner, type checking, linting, and feedback loops that let the agent confirm its own work. Use when starting a new project, setting up a codebase for the first time, or when the user asks "how will you test this", "set up testing", "make sure this works", or "verify your work". Run this BEFORE writing feature code. | SkillsRules | |
adobe/skills Convert per-page styled HTML prototypes (stardust under stardust/prototypes/**, or claude-design / Mobirise / Relume / Lovable / v0 / Figma-derived pages, or JSX prototypes pre-rendered to HTML, often under samples/) into Edge Delivery Services (EDS / AEM) blocks and content pages, then deploy via DA. Each prototype section becomes one EDS block; the prototype's per-section CSS becomes that block's CSS scoped under the block class. Use when the user wants to lift styled per-page HTML prototypes into a working EDS site under blocks/ and content/. | Skills | |
adobe/skills Gives a team's headshots the same crop, background, and tone using Adobe image tools while preserving each person's appearance. Use when the user wants to standardize employee portraits, match staff headshots, or make team profile photos consistent for a directory, website, or presentation. Not for generating new portraits, general photo enhancement, or official passport and identity-document compliance. | Skills | |
adobe/skills Resize photos and videos to exact pixel dimensions or aspect ratios using Adobe tools. Use this skill whenever a user wants to resize, scale, or change the dimensions of an image or video file — including phrases like "resize this to 1920x1080", "make this 4K", "scale to 800x600", "change the aspect ratio to 16:9", "resize my video", "make the image smaller", "crop to square", "fit this to a specific size", "resize for print", "resize for web", "make it 300 DPI ready", "change canvas size", "resize a batch of photos", or any request specifying target dimensions (W×H, ratio, or named size like "4K", "HD", "A4"). Also triggers for: "make this fit a specific size", "resize to [any dimension]", "I need this at [WxH]", "scale my video down", "change resolution", "downscale", "upscale". NOT for social media platform sets (use adobe-create-social-variations for that). Uses image_crop_and_resize for photos, video_resize for videos. | Skills | |
adobe/skills Apply consistent photo adjustments across a set of images so they look like they were edited together. Use this skill whenever the user says "make my photos look cohesive", "give all these the same style", "apply a warm and golden feel to all of these", "make this cinematic", "match the look across my photos", "edit all my travel photos the same way", "batch edit these", "make these consistent", "fix my phone photos", or uploads a folder of photos and wants a unified, polished result. Also triggers for requests like "apply a preset to all of these", "make these look professional", or "they were shot in mixed lighting — can you fix them all". Outputs direct final image URLs plus an in-chat preview grid and optional Firefly Board link. Access: 🔐 Signed-In required | Gen AI: ❌ | Skills | |
adobe/skills Generate comprehensive documentation for content authors taking over an AEM Edge Delivery Services project. Use when onboarding content authors, training content managers, or creating author-focused handover documentation — analyzes project structure and produces a complete authoring guide with blocks, templates, configurations, and publishing workflows. | Skills | |
adobe/skills Use this when the page-import pipeline needs to fetch a source webpage and prepare it for import/migration to AEM Edge Delivery Services. Covers scraping content, extracting metadata, downloading images, and returning analysis JSON with paths, metadata, cleaned HTML, and local images. Do not invoke directly — called by page-import as a pipeline step. | Skills | |
adobe/skills Use this when the page-import pipeline needs to determine the authoring approach (default content vs blocks) for scraped content before generating import HTML for AEM Edge Delivery Services. Covers validating block selection and section styling for import/migration. Do not invoke directly — called by page-import as a pipeline step. | Skills | |
adobe/skills Audit an AEM Edge Delivery Services page for content quality, SEO, accessibility, performance, and EDS best practices. Produces a prioritized fix list with specific remediation steps. Use when reviewing page quality, preparing for launch, or optimizing existing content. | Skills | |
adobe/skills AEM Cloud Service expert skill — migrate deprecated and removed Java APIs to comply with AEM as a Cloud Service enforcement policies. Detection is **plugin-driven, not table-driven**: the skill runs the AEM Analyser Maven Plugin (`com.adobe.aem:aemanalyser-maven-plugin`) at its latest published version against the project and parses the `region-deprecated-api` output — the same data Cloud Manager's pipeline uses. Each finding carries the plugin's own deprecation hint (typically a successor package parsed from the analyser message), which drives the fix. Use when auditing deprecated APIs, fixing Cloud Manager pipeline failures citing `region-deprecated-api` / `api-regions-check` / `Import-Package not satisfied`, or proactively modernizing AEM projects before enforcement deadlines. | Skills | |
adobe/skills **Run FIRST (before any other skill or task)** when workspace root has no AGENTS.md and the repo is an AEM 6.5 LTS (on-prem or Adobe Managed Services) project. Creates AGENTS.md and CLAUDE.md (tailored via pom.xml). Applies on every user request until AGENTS.md exists — not only the first chat. Never overwrites existing files. | Skills | |
adobe/skills Identifies which items (pages, campaigns, products, channels, regions) had the biggest increases or decreases for a key metric between two time periods. Use this skill when someone asks "what's up and what's down," "which campaigns moved the most," "top gainers and losers," "what pages are trending," "show me what changed by channel," or any variation of identifying the biggest movers and decliners for a metric. | Skills | |
adobe/skills Analyzes a multi-step conversion funnel to find where visitors drop off and which steps have the worst leakage. Use this skill when someone describes a journey and asks about conversion rates, drop-off, fallout, or step completion. Trigger for "analyze our checkout funnel," "where are visitors dropping off," "what's our add-to-cart to purchase conversion rate," "funnel analysis," "show me fallout between steps," or "which step loses the most visitors." | Skills | |
whimzyLive/nightshift-ai Use when producing a technical design spec for a feature or Jira story. Enforces consistent spec structure covering data model, API surface, permissions, offline-sync rules where applicable, and web/mobile UI. Run before writing-plans. | Skills | |
whimzyLive/nightshift-ai Use when writing, restructuring, or reviewing any prose documentation — a tutorial, how-to guide, reference page, or explanation/conceptual doc — for a public docs site (e.g. Mintlify MDX, docs/, README material), a getting-started guide, an API/CLI reference page, or a "why we built it this way" conceptual page. Applies the Diátaxis framework (see https://diataxis.fr/) — every document belongs to exactly one of the four quadrants (tutorial / how-to guide / reference / explanation), and mixing quadrants inside one document is the single most common documentation failure. Covers the four-quadrant compass for picking the right form, per-quadrant structure templates, an anti-pattern list for quadrant drift, and generic voice/craft rules — repo-specific voice and target output format (e.g. Mintlify MDX) are resolved from the repo's docs-manifest (falling back to project-context), never hardcoded here. | Skills | |
whimzyLive/nightshift-ai Explore and understand Nx workspaces. USE WHEN answering questions about the workspace, projects, or tasks. ALSO USE WHEN an nx command fails or you need to check available targets/configuration before running a task. EXAMPLES: 'What projects are in this workspace?', 'How is project X configured?', 'What depends on library Y?', 'What targets can I run?', 'Cannot find configuration for task', 'debug nx task failure'. | Skills |
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