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Found 9,399 Skills
Search SOLID.Jobs offers from a natural-language request. Translates phrases like "senior Go, remote, 25k+ in Warsaw" into sjctl search flags, runs the query, and presents the best matches. Use when the user wants to find or browse job offers.
MUST activate when the user wants to package, distribute, or install/upgrade/uninstall/promote a UI Bundle as a Salesforce second-generation (2GP) package (project may contain uiBundles/ or sfdx-project.json for packaging tasks; install/upgrade tasks may lack local bundle files). Handles making a bundle packageable, choosing managed/unlocked flavor, creating package/version with sf package, installing/upgrading in another org, and debugging failures. TRIGGER on packaging, 2GP, managed package, unlocked package, AppExchange, package version, sf package, sf package install, sf package upgrade, install a package, upgrade a package, cross-org distribution. DO NOT TRIGGER for plain source deploy to one org (use experience-ui-bundle-deploy) or scaffolding a new bundle (use experience-ui-bundle-project-generate). Apply piecemeal — do ONLY the part asked.
Apply a Salesforce sandbox post-copy automation JSON config against a target org. For each entry, the skill derives the correct Tooling API sobject from the entry's `ConfigurationName`, verifies the derivation via a describe probe, resolves the record Id via SOQL-over-REST, then PATCHes the record via the compound `Metadata` field using `sf api request rest`. Use when the user asks to apply, run, execute, dry-run, or preview a post-copy or post-refresh config file (e.g. `post-copy-config.json`) against a sandbox. Trigger phrases: "apply post-copy config", "run post-copy automation", "execute sandbox post-refresh JSON", "apply sandbox refresh config", "configure sandbox after refresh". DO NOT TRIGGER for generating the config JSON from an SOP (delegate to `automation-sandbox-post-copy-config-generate`), or for deploying metadata XML.
Use when the user asks for a BPMN diagram, swimlane diagram, business process map, or workflow diagram with roles/lanes and phases. Builds with the declarative layout engine using canonical mxgraph.bpmn stencils (events, gateways, typed tasks) in horizontal swimlanes (pool → lanes × phases), validates (BPMN semantic rules plus geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Esports data — Dota 2 (OpenDota) and League of Legends esports (Leaguepedia). Pro matches, tournaments, teams, and structured LoL competitive data. Use when: user asks about Dota 2 pro matches/teams/leagues, or LoL esports tournaments/rosters/results. Don't use when: user asks about esports betting/odds — use the `kalshi` (get_esports_odds) or `polymarket` (get_esports_events) skills (no keyless bookmaker-odds source exists). Don't use for non-Dota/LoL titles (only Dota 2 and LoL are covered).
Use when a developer asks their coding agent to initialize or work with moldea; plan an AI- or agent-enabled system and decide what should be agents versus deterministic software, services, tools, or human control; create or refine an AI agent or its behavioral system, including instructions, descriptions, handoff descriptions, tools, skills, schemas, variables and providers, routing or handoffs, bindings, or runtime integration; evaluate, reconcile, or validate an existing moldea system; or make ordinary behavior-affecting repository changes that may require maintaining an adopted moldea system. Loading the skill does not adopt moldea: initial adoption still requires explicit developer intent, while relevance-triggered maintenance applies once a repository uses or is adopting moldea.
World Cup match prediction and pre-match intel for football (soccer) fans: predict who will win and a likely scoreline, backed by structured, verifiable evidence -- player profiles, squad dossiers, current form, head-to-head records, and past-tournament history -- using AnyCap web search and crawl. Weighs FIFA ranking, recent form, head-to-head, and key players, plus any user-defined dimensions (home advantage, injuries, rest, weather, vibes), then makes a clearly-labeled for-fun call with a confidence level and a mandatory disclaimer. Built on the 'search less, not faster' strategy: narrow the search space first, retrieve only what matters, then verify against authoritative sources. Use when a fan wants a World Cup match prediction, predicted score, or who-will-win call; wants a player's profile, bio, form, or stats; wants a full World Cup squad or national-team lineup table; wants to size up two teams before a match; or wants head-to-head and past World Cup context. Trigger on: World Cup prediction, predict the score, who will win, match prediction, predicted scoreline, World Cup, World Cup squad, national team lineup, pre-match analysis, matchup, player form, footballer stats, player profile, head-to-head, or scout a team.
Produce media assets using AnyCap: generate images, videos, music, speech, dialogue, and complete audio scenes from text or reference inputs, refine images through interactive visual annotation, and deliver finished assets. Covers the full production workflow from concept to delivery across all media types (image, video, music, audio). Use when creating images, videos, music, voice content, dialogue, complete audio scenes, or any visual/audio content -- including iterative refinement with human feedback. Also use for image-to-image transformation, video generation from images, audio generation from references, and annotation-driven precise edits. Trigger on: media production, asset generation, generate image/video/music/audio, create visual content, produce assets, iterative image editing, annotate and refine, creative workflow, content creation, or any task requiring AI-generated media output.
Turn user-provided data, notes, research, product facts, or structured inputs into AnyCap-style blog posts and then enrich those posts with first-party evidence blocks when needed. Use when a user wants a blog, article, tutorial, learn page, or SEO content draft written in the tone of the AnyCap website. Best fit when the input is data-first rather than prose-first: spreadsheets, JSON, bullets, notes, source URLs, benchmarks, product facts, or rough research. Trigger on: write blog from data, turn notes into article, blog drafting, article production, learn page drafting, SEO article in AnyCap tone, or requests to convert structured inputs into publish-ready content.
Embed screenshots, images, diagrams, GIFs, and screen recordings in GitHub PRs and issues — or stage them ahead of a PR, collect them into one attachments comment, or get a durable public link to share a visual with a person. Use this whenever a visual needs to end up in a PR description, issue body, or PR/issue comment, in front of a teammate, or saved for a PR that doesn't exist yet. Triggers include "attach a screenshot to the PR", "add a before/after to the issue", "include a screenshot of …", "share a GIF of the flow", "record the bug and put it in the issue", "get me a link I can paste in Slack", "stage screenshots for the PR", "attach this when I open the PR", "save this for the PR", "collect the PR's media", or having just captured or changed something visual that a shot would make clearer — even mid-task, before a PR exists. Also applies when an agent has no local filesystem and is uploading via the hosted MCP (agents.uploads.sh). Reach for this instead of drag-and-drop or github.com/user-attachments (agents can't upload there) and instead of hand-rolling cloud-storage uploads. Capture the visual with whatever browser or screenshot tooling you have; this skill covers hosting and embedding it.
Bake hand-drawn boxes, arrows, labels, freeform strokes, and redactions onto a screenshot so a PR reviewer or teammate sees exactly what changed and where to look, instead of reading a caption and hunting for it. Use this whenever a screenshot needs a callout — "point at the new button", "circle the bug", "arrow to the diff", "blur out the API key in this screenshot", "mark up this image before I attach it". Covers both annotating a live page during capture (`uploads screenshot --annotate`, CSS selector targeting) and annotating an image you already have (`uploads annotate`, pixel/freeform coordinates only). For getting the resulting image into a GitHub PR or issue, hand off to the github-screenshots skill — this skill only covers producing the annotated image.
Turn customer feedback (usually an email) into discrete GitHub issues. Checks for duplicates, proposes new issues for approval, creates them, and drafts a reply email.