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CircleCI Orb Dependency Analyzer

Analyzes CircleCI orb dependencies using the CircleCI v2 API and Orb Registry API. Maps orb version trees, detects breaking changes, and generates upgrade paths for pinned orb references.

Was ist CircleCI Orb Dependency Analyzer?

CircleCI Orb Dependency Analyzer is a Gemini CLI agent skill that analyzes CircleCI orb dependencies using the CircleCI v2 API and Orb Registry API. Maps orb version trees, detects breaking changes, and generates upgrade paths for pinned orb references.

Funktioniert mit~Claude Code~Codex CLI~Cursor✓Gemini CLI
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/circleci-orb-dependency-analyzer
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Dokumentation

Was macht CircleCI Orb Dependency Analyzer?

Analyzes CircleCI orb dependencies using the CircleCI v2 API and Orb Registry API. Maps orb version trees, detects breaking changes, and generates upgrade paths for pinned orb references.

Installation

Use the upstream install or setup path that matches your environment:

Basic usage or getting-started notes:

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

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Add multimodal lifelong memory to MCP and Python agents with Sim

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Add persistent project memory and hook-driven synthesis with Cla

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Add temporal context memory to agent workflows with Zep

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