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Found 550 Skills
Migrate Riverpod from 2.0 to 3.0; automatic retry, paused listeners, legacy providers import, Ref simplification, FamilyNotifier removal, ProviderException, updateShouldNotify. Use when the user asks about Riverpod 3 migration, upgrading to Riverpod 3, or breaking changes in 3.0.
Nooks platform help — AI-native sales engagement workspace with parallel dialer, multi-channel sequencing, real-time coaching, and waterfall enrichment. Use when SDR team needs to increase connect rates with parallel dialing, reps are getting numbers flagged as spam during cold calling, setting up multi-channel sequences across calls email SMS and social in Nooks, configuring AI coaching scorecards or roleplay scenarios, evaluating Nooks vs Orum vs Koncert for parallel dialing, prospects complain about awkward delay when answering parallel dialer calls, or setting up waterfall enrichment across multiple data providers. Do NOT use for building a general coaching program (use /sales-coaching) or general outbound cadence strategy (use /sales-cadence).
Generate and manage provider-backed video renders for short-form production. Use this when approved upstream assets or prompt plans already exist and you need local render manifests, downloaded video files, and replaceable routes for talking-head or Seedance generation without losing continuity across concepts and personas.
Single-image generation skill for posters, key art, and editorial illustrations. Defaults to gpt-image-2 but is provider-agnostic — the same workflow drives Flux, Imagen, or Midjourney via the active upstream tooling. Output is one or more PNG/JPEG files saved to the project folder.
This skill should be used when the user wants to check whether an agent skill is portable across providers. Common triggers include "is this skill cross-provider safe", "will my skill work in cursor", "audit skill compatibility", "check if this loads in codex", and "which providers support this skill". Spawns one agent per provider in parallel using bundled provider-doc snapshots (refreshed on cadence — never fetched at runtime) and produces a compatibility matrix plus a COMPAT.md report. Skip when authoring a new skill (use skill-creator) or rerunning baselines (use skill-eval).
Tests Android inter-process communication (IPC) through intents for vulnerabilities including intent injection, unauthorized component access, broadcast sniffing, pending intent hijacking, and content provider data leakage. Use when assessing Android app attack surface through exported components, testing intent-based data flows, or evaluating IPC security. Activates for requests involving Android intent security, IPC testing, exported component analysis, or Drozer assessment.
Implement account linking using StackOne Connect Sessions and the Hub React component. Use when user asks to "connect a provider", "embed the integration picker", "add BambooHR to my app", "create a connect session", "set up auth links", or "handle account webhooks". Covers the full flow from session creation to webhook handling. Do NOT use for making API calls after linking (use stackone-platform) or building AI agents (use stackone-agents).
Run the restored Claude Code agent runtime with GitHub Models or Copilot providers for local AI coding workflows
Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration, policy iteration, BYOC workflows, and inference routing. Covers basic through advanced multi-step workflows. Trigger keywords - openshell, sandbox create, sandbox connect, logs, provider create, policy set, policy get, image push, forward, port forward, BYOC, bring your own container, use openshell, run openshell, CLI usage, manage sandbox, manage provider, gateway add, gateway select.
Create lean-spec style GitHub issues as specs for human-AI aligned implementation on the current repo. Use when asked to "create a spec", "write a spec issue", "spec this feature", "spec this", or when planning work that needs a specification before implementation. Follows the lean-spec SDD methodology — small focused specs (<2000 tokens), intent over implementation, context economy. Creates GitHub issues with Overview, Design, Plan, Test, Alignment, and Notes sections. Repo-specific area taxonomy, sister-skill names, custom body sections (e.g. Provider impact / Schema impact / Reach), and additional principles are overlaid by the consumer repo's CLAUDE.md and its `*-dev-process` / `*-pre-push` / `*-pr-lifecycle` sister skills — read those first when the repo isn't obvious.
The meta skill. Turn any raw feature into a properly-skilled, tested, resolvable unit of agent capability. Cross-modal eval is the recommended Phase 3 quality gate: 3 frontier models from different providers critique the output, you iterate to quality, THEN write tests that lock in the proven-good behavior.
Run provider-agnostic live voice conversations with VAD, silence boundaries, wake-word gating, STT, and TTS through the AgentOS speech runtime.