bloc-cubit
An AI agent skill from andrewyng/context-hub, scored 66 out of 100 by code.
Code score by group
It loses the most points in Procedure (12), the group that checks whether the steps are numbered, read the context first and say what to do when something fails.
What the author says it does
Use when working with Flutter Bloc/Cubit state management. Covers when to choose Bloc vs Cubit, how to use bloc and flutter_bloc together, lifecycle, testing, and safe defaults.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- andrewyng/context-hub
- Folder
- content/flutter/skills/state-management/bloc-cubit
- License
- MIT
- GitHub stars
- 13,985
- SKILL.md lines
- 108
- Other files
- 0
Add bloc-cubit to your agent
npx skills add andrewyng/context-hub --skill bloc-cubit
The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
More skills from andrewyng/context-hub
-
document-workflows
Use this skill for building end-to-end document processing workflows and pipelines using LandingAI ADE. Trigger when users need to: (1) Process batches of documents in parallel or…
75B -
get-api-docs
Use this skill to get documentation for third-party APIs, SDKs or libraries before writing code that uses them to ensure you have the latest, most accurate documentation. This is…
73B -
riverpod
Use when working with Flutter Riverpod state management. Covers providers, consumers, refs, containers, overrides, async state, code generation, testing, and safe defaults.
67C -
new-project
Build a new AI agent with Olakai monitoring from scratch — project setup, SDK integration, KPI configuration, and end-to-end validation
63C -
integrate
Add Olakai monitoring to existing AI code — wrap your LLM client, configure custom KPIs, and validate the integration end-to-end
61C -
document-extraction
Use this skill for intelligent document processing and content extraction using LandingAI's Agentic Document Extraction (ADE). Trigger when users need to (1) Parse documents (PDFs…
58C -
electronics-sourcing
Guide for AI agents to source electronic components using parts-mcp — tool sequencing, decision patterns, and multi-step workflows
58C -
tavily-best-practices
Build production-ready Tavily integrations with best practices for web search, content extraction, crawling, and research in agentic workflows, RAG systems, and autonomous agents
52D
All skills in andrewyng/context-hub
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.