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workflow-pattern-analysis Skill

AI Agent SkillWorkflow AutomationPythonOpen source

Analyse failure/success patterns across many runs of a workflow using context-intelligence session data. Use when asked "How is <workflow failing?", "What does a successful run look like vs a failing one?", "Which steps are the most common failure points?", or "What patterns appear consistently across sessions?" — also Published by microsoft in amplifier-bundle-context-intelligence.

Decision snapshot

Is this a fit?

Best for

Data analysis, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Can write or update data, Write actions, Filesystem access, Shell access

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

Confirm write permissions and scope before use. Access note: Local files. Access note: Shell access.

What is workflow-pattern-analysis Skill?

Analyse failure/success patterns across many runs of a workflow using context-intelligence session data. Use when asked "How is <workflow failing?", "What does a successful run look like vs a failing one?", "Which steps are the most common failure points?", or "What patterns appear consistently across sessions?" — also Published by microsoft in amplifier-bundle-context-intelligence. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
11/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Design and media
  • Data analysis use cases
  • Design and media use cases

Declared skill metadata

  • Declared license: MIT
  • Source file: skills/workflow-pattern-analysis/SKILL.md

Allowed tools declared by source

bashdelegateread_filewrite_file

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory
  • Local files
  • Shell access

Requirements and access

Local filesShell access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

Write actionsFilesystem accessShell accessCan write or update data

When to use workflow-pattern-analysis Skill

  • Use it for data analysis.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-context-intelligence
  • Skill file: skills/workflow-pattern-analysis/SKILL.md

What it does

Analyse failure/success patterns across many runs of a workflow using context-intelligence session data. Use when asked "How is <workflow failing?", "What does a successful run look like vs a failing one?", "Which steps are the most common failure points?", or "What patterns appear consistently across sessions?" — also

Skill instructions

Workflow Pattern Analysis Phase Gate (mandatory before any analysis) Your first tool call must be: readfile(".context-intelligence-investigation/domain-concepts.md") | Result | Action | |---|---| | File found | Domain concepts are established. Proceed with the analysis below. | | File not found | Phase 0 is incomplete. Delegate to context-intelligence:context-intelligence-design-facilitator with contextdepth="none" to run Phase 0 first. Do NOT proceed with any analysis until the facilitator has written domain-concepts.md. | This skill is designed to run AFTER Phase 0 (concept elicitation). Running it before Phase 0 produces poorly scoped signals and forces the user to steer corrective turns. --- Systematic investigation of failure and success patterns across many runs of a specific workflow using context-intelligence session data. Answers three questions: 1. What failure patterns appear consistently across many runs? 2. What does a successful run look like vs a failing one? 3. Which sp

Verified compatibility and discovery

Frequently asked questions

What is workflow-pattern-analysis?

workflow-pattern-analysis is a open-source AI agent skill with Copy skill directory. Analyse failure/success patterns across many runs of a workflow using context-intelligence session data.

Who is workflow-pattern-analysis best for?

workflow-pattern-analysis is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.

How do I install workflow-pattern-analysis?

Install or run workflow-pattern-analysis using Copy skill directory. Check workflow-pattern-analysis for the latest setup command.

Is workflow-pattern-analysis actively maintained?

workflow-pattern-analysis may need a closer maintenance check before production use.

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Stars
2
Forks
3
Last commit
2 months ago
Last verified
Sep 2, 2026
Metadata fetched
Sep 2, 2026
Repository age
6 months
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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