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Found 632 Skills
Operates AIR agentic wallets through AIR's `/v2/wallet/agent-sign` HTTP endpoint and ERC-4337 UserOps. Use when an external agent receives an AIR handoff bundle with `userId`, `walletId`, `privyAppId`, `abstractAccountAddress`, and `airApiAgentSignUrl`, and needs to sign messages, typed data, or control the smart account onchain.
Manage regulatory requirements, number bundles, supporting documents, and verified numbers for compliance. This skill provides REST API (curl) examples.
Specification and SDK for creating Agent Skills - a standard format for giving AI agents new capabilities through discoverable instruction bundles
Day 1 (Monday) move of a Design Sprint that produces the bundled Monday artifact containing long-term goal, sprint questions (3-7 testable risks), customer or system map (5-15 step flow), expert interview notes, HMW (How Might We) cluster board, and the Decider's chosen target moment. Use Day 1 morning and afternoon after the sprint brief is locked. Sets the design target for Tuesday's sketches and Wednesday's storyboard.
Verify journals, prepare submission documents, check disclosures, and organize reviewer responses and revision evidence. Use when the user asks for "preparing for submission", "journal selection", "responding to reviewer comments", or requests the rw-journal-submission workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Design and execute reproducible systematic reviews, scoping reviews, and other evidence synthesis processes. Use when the user asks for "conduct a systematic review", "how to conduct a scoping review", "design a screening process", or requests the rw-review-methods workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Author, audit, and improve Grafana SKILL.md files against Anthropic's published Agent Skills guidance and the four-dimension rubric the grafana/skills CI gate uses (conciseness, actionability, workflow clarity, progressive disclosure). Applies the canonical SKILL.md structure (YAML frontmatter + body + references/ + scripts/ + assets/), the "pushy description" trigger pattern, the three-level progressive-disclosure model, and the validate-fix-rerun feedback loop. Use when creating a new skill in this repo, when reviewing a skill PR, when a skill's Tessl review score is below 75 (the merge gate), when a skill's description isn't getting picked up by agents, when restructuring a long SKILL.md into a bundle, or when the user asks how to write, improve, optimize, audit, or fix a skill - even if they don't say "skill" explicitly (e.g. "this isn't triggering", "Tessl scored this 72", "split this doc").
Diagnose and fix Webflow CLI issues including installation problems, authentication failures, build errors, and bundle problems. Uses CLI diagnostic flags (--version, --help, --verbose, --debug-bundler) for troubleshooting.
Create and deploy reusable React components for Webflow Designer. Configure existing React projects with webflow.json, build and bundle code, validate output, and deploy to workspace using library share. Use when building custom components for designers.
Build Designer Extensions for custom Webflow Designer functionality. Lists available templates, initializes extension projects from templates (default/react/typescript-alt), bundles extensions for upload, and serves locally for development.
Transform research interests into definable, searchable, falsifiable, and executable research questions. Use when the user asks for "help me formulate research questions", "is this topic feasible", "turn my interest into an RQ", or requests the rw-research-question workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Test AI/LLM features that ship in your product. Covers prompt regression testing, response quality evaluation, tool-call validation, hallucination and RAG grounding checks, nondeterministic-output strategies, red-team/safety scans, eval frameworks, and agent-as-target injection (indirect injection via tool output / RAG / scan reports, self-propagating payloads, data exfiltration via an agent) plus a bundled detector for untrusted content. Use when: "test our LLM feature," "prompt regression test," "eval framework," "hallucination test," "RAG grounding," "nondeterministic output," "AI feature testing," "red-team our chatbot," "indirect prompt injection," "agent reading untrusted tool output," "production AI quality." Not for: using AI to generate your own test code — use ai-test-generation. Not for: classifying CI failures with AI — use ai-bug-triage. Not for: EU AI Act / GDPR conformity of an AI feature — use compliance-testing. Not for: canary/flag rollout of an AI feature — use testing-in-production. Related: ai-test-generation, ai-qa-review, api-testing, compliance-testing, security-testing, risk-based-testing, test-data-management.