Workflow Analysis
CheckedAnalyzes existing workflows to identify bottlenecks, inefficiencies, and automation opportunities using data-driven insights.
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workflow-analysis. SKILL.md frontmatter is not valid YAML, so the skills CLI skips it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-15. We don't show a command we know will fail.
What we know about this skill
Publisher
thebeardedbearsas
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned thebeardedbearsas/claude-craft at 99c1ee30cb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 99c1ee30cb
- Scanned
- 3 files, 262 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill analyzes existing workflows to identify bottlenecks, inefficiencies, and areas for improvement. It can break down complex processes into smaller steps, highlight redundant tasks, and suggest optimizations based on best practices. The analysis results are presented in a clear and actionable format, facilitating informed decision-making regarding workflow redesign or automation.
When to use it
- Process Optimization: You have a manual process that's taking too long or causing errors; the skill can identify where time is being wasted.
- Automation Planning: Before automating a task, understand its current state and potential pitfalls with a detailed workflow analysis.
- Troubleshooting Workflow Issues: A specific step in your workflow isn’t working as expected – analyze it to pinpoint the root cause.
- Onboarding New Team Members: Quickly document and explain complex workflows for new hires by having the AI agent generate an initial analysis.
Key capabilities
- Workflow Decomposition: Breaks down processes into individual steps.
- Bottleneck Identification: Pinpoints areas of delay or congestion within a workflow.
- Redundancy Detection: Identifies repetitive or unnecessary tasks.
- Optimization Suggestions: Provides recommendations for improving efficiency and reducing errors.
Example prompts
- "Analyze the process for onboarding new clients, starting with initial contact and ending with project completion."
- "Can you break down our expense report approval workflow and identify any potential bottlenecks?"
- "I want to understand how we handle customer support tickets from start to finish. Please provide a detailed analysis of this workflow."
Tips & gotchas
The quality of the analysis depends heavily on the clarity and completeness of the information provided about the workflow. Be prepared to answer follow-up questions to ensure accurate results.