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CircleCI Workflow Analyzer

Analyzes and optimizes CircleCI workflows using the CircleCI v2 API. Identifies bottlenecks in job dependency graphs, suggests parallelism improvements, and monitors pipeline credit usage.

Was ist CircleCI Workflow Analyzer?

CircleCI Workflow Analyzer is a Claude Code agent skill that analyzes and optimizes CircleCI workflows using the CircleCI v2 API. Identifies bottlenecks in job dependency graphs, suggests parallelism improvements, and monitors pipeline credit usage.

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

Was macht CircleCI Workflow Analyzer?

Analyzes and optimizes CircleCI workflows using the CircleCI v2 API. Identifies bottlenecks in job dependency graphs, suggests parallelism improvements, and monitors pipeline credit usage.

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

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

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Add runtime guardrails to TypeScript agents with VoltAgent

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Add temporal context memory to agent workflows with Zep

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