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Found 6,502 Skills
You must use this when critiquing academic manuscripts, evaluating methodological rigor, or providing structured reviewer feedback.
Create mathematical animations with Manim Community Edition(manimce). Generates distinctive, production-grade animations that avoid generic "AI slop" aesthetics. Use when user wants to animate concepts, equations, illustrate proofs, visualize algorithms, create math explainers, or produce 3Blue1Brown-style videos.
Analyse competitor moves and surface strategic implications for your product. Use when asked to track competitor signals, analyse a competitor announcement, understand what a competitor is doing strategically, or produce a competitive intelligence report. Produces a categorised signal analysis with threat ratings, roadmap implications, and recommended responses.
Chinese translation of Google's Agentic Design Patterns book - 21 core AI agent patterns with examples
Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.
12 research methodology skills. Trigger: study design, methodology selection, scientific reasoning, mentoring. Design: rigorous methods frameworks covering qualitative, quantitative, and mixed approaches.
Design and operate an advanced AI agent memory system on HelixDB using hybrid graph + vector + BM25 search. Use when building long-term memory, user profiles, document/chunk RAG, recall/remember features, memory extraction, deduplication, consolidation, versioning, updating, forgetting/deletion, categorisation, or connector-backed ingestion. Covers tenant-safe Helix data modeling, modality decision rules, the full write/maintain lifecycle, and the product layers an agent must implement around Helix. TypeScript-first (@helix-db/helix-db); a Rust DSL variant is in EXAMPLES.rust.md.
Use this skill when users need to create, generate, or modify Salesforce Sharing Rules metadata. TRIGGER when: users mention sharing rules, record sharing, criteria-based sharing, role-based sharing, guest user sharing, portal user sharing, sharingRules, sharingCriteriaRules, sharingGuestRules, sharingOwnerRules, .sharingRules-meta.xml files, or ask to share records with specific roles or groups. Also trigger when users want to configure record-level access beyond org-wide defaults (OWD), share object records with roles, groups, or guest users, or set up Experience Site guest user record visibility. SKIP when: user needs permission sets or profiles (use platform-permission-set-generate), or needs object-level security rather than record-level sharing (use platform-permission-set-generate).
Invoke the `groundcover` Go CLI to manage Groundcover resources (dashboards, monitors, silences, connected apps, notification routes, API keys, policies, integrations, pipelines, workflows) AND to answer production observability questions by querying logs, traces, metrics, k8s inventory, and k8s events. Use whenever a task needs an authenticated call against the Groundcover API or whenever the user is debugging a prod issue and asks things like "why is X erroring in prod", "show me logs for service Y", "what's the p99 latency on Z", "what pods are crashlooping", "search traces for slow requests", "any k8s events for namespace N", "is service S receiving traffic", "list groundcover monitors", "create a silence", "update notification route", "hit a groundcover endpoint". Covers required env vars, the SDK-backed vs raw command split, and concrete request-body templates for logs/traces/metrics/k8s so the CLI can be driven from anywhere.
Structure a Bevy app around its Entity Component System: build the App with plugins, define Component/Resource types, write systems with Query/Res/Commands, filter and order systems, and use the Time resource for frame-rate-independent motion. Use when building or debugging a Bevy game in Rust — when the user mentions Bevy, ECS, App::new, add_systems, Query, Commands, components/systems, or a Cargo.toml depending on bevy.
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.
Use when working with Tigris file storage - uploading, downloading, deleting, listing files, presigned URLs, client uploads, or setting up Tigris CLI and SDK. Covers Next.js, Remix, Express, Rails, and Laravel. For Python/Django, see the tigris-python-sdk skill.