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Found 1,744 Skills
Use when the user asks to "create an evaluator", "create evals", "create a scenario", "write a test scenario", "design a test case", "test my agent", "build eval coverage", "plan a test suite", "create red team tests", "set up test profiles", "configure conditional actions", "write a conditional action evaluator", "build a deterministic test", "design an IVR test", "IVR navigation test", "write a unit test for a voice agent", "build a regression test", "scripted scenario", "scripted voice test", "structured evaluator", "exact flow test", "sequential conditions", "fixed sequence test", or "run evals". Covers individual evaluator design, suite coverage strategy, test profiles, mock-tool data design, conditional actions (deterministic / unit test / regression / IVR navigation flows), and best practices for workflow / red-team / edge-case / deterministic test types.
Use when the user asks to "create an agent", "set up an agent", "add my agent to Cekura", "configure my voice agent", "connect my agent", "set up mock tools", "add tools to my agent", "upload knowledge base", "configure integration", "connect VAPI", "connect Retell", "connect LiveKit", "connect ElevenLabs", "add dynamic variables", or needs to onboard a voice AI agent onto the Cekura platform. Covers the full agent setup flow: collecting context, creating the agent, configuring the provider integration, setting up mock tools, uploading knowledge base files, and adding dynamic variables.
Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
Pre-indexed code knowledge graph (MCP, SQLite + tree-sitter) for faster, lower-token exploration of brownfield codebases. Use when starting work on a repo larger than ~500 files or when the task involves cross-file traversal — "where is X used", "what calls Y", "what breaks if I change Z", "trace flow from A to B", "explain this subsystem". Skip for single-file edits or sessions shorter than the cold-start cost. Triggers include "codegraph", "code graph", "index this repo", "where is X defined", "find callers of", "callees of", "blast radius of changing X", "explore this codebase". Replaces grep + Read loops with O(1) SQLite lookups and FTS5 search via 8 MCP tools.
Resolve `/flag` style requests into the right LaunchDarkly flag lookup flow. Use when the user types `/flag`, asks to quickly find a flag by name/key, wants a direct flag detail summary, or needs fast disambiguation between similar flags.
Author, refresh, or repair the changelog entry for the current branch — derive metadata, write the frontmatter and grouped body, run the deterministic enrichment scripts, and validate against the changelog contract. Use when asked to write or update a changelog entry, refresh an entry after new commits, or as the changelog step inside a ship/PR flow. Detects an existing entry for the branch (idempotent update-vs-create), keeps `created_at` sacred, leaves post-merge fields to the release step, and validates with a zero-dependency Node script.
The purpose, UX flow, and modern-minimalist design bar for the vigiles.sh landing site (site/). Use whenever designing, editing, adding to, or reviewing any site/ component, hero, section, or marketing copy — read it BEFORE touching site/, and hold every change against it. Not for docs/ or the app itself.
Use when planning software development tasks, before writing code or implementation plans - refines rough technical ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. For software architecture, components, data flow, and technical design decisions. Don't use during clear 'mechanical' coding processes
Creates professional TikZ flowcharts with a standardized style (Google Material-like colors, node shapes, and layout).
Security-focused code review checklist and automated scanning patterns. Use when reviewing pull requests for security issues, auditing authentication/authorization code, checking for OWASP Top 10 vulnerabilities, or validating input sanitization. Covers SQL injection prevention, XSS protection, CSRF tokens, authentication flow review, secrets detection, dependency vulnerability scanning, and secure coding patterns for Python (FastAPI) and React. Does NOT cover deployment security (use docker-best-practices) or incident handling (use incident-response).
Build software with elite design principles focusing on user outcomes, trust, accessibility, and performance. Use when creating UI components, designing user flows, writing production code, reviewing code quality, or when the user mentions UX, accessibility, performance, or trust-focused development.
Expert in documentation structure, cohesion, flow, audience targeting, and information architecture. Use PROACTIVELY for documentation quality issues, content organization, duplication, navigation problems, or readability concerns. Detects documentation anti-patterns and optimizes for user experience.