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AI Agent Workflow Collection

Skill pack
31 skills0 selected
brennontwilliamsSkills in this pack

Use when asked to generate an FSM adversarial verification loop YAML that tries to break a feature via boundary values, malformed inputs, and failure modes.

English

Use when asked about project health, velocity, bug trends, or whether we're making progress.

English

Use when asked to audit Claude Code config, validate plugin settings, or diagnose plugin issues.

English

Use when asked to detect conflicting requirements or incompatible decisions across open issues.

English

Use when asked to assess loop effectiveness, audit goal achievement, or detect phantom success.

English

Use when asked to clean up stuck loops, kill dead loop processes, or troubleshoot loop state.

English

Use when asked to generate an FSM eval harness YAML from one or more issue IDs, or DSL eval tasks from a loop/issue file with --dsl.

English

Use when asked to create an automation loop or automate a recurring task with an FSM.

English

Use when asked to analyze loop execution history, investigate loop failures, or find loop issues.

English

Use when asked to select the winning implementation option for an issue with decisionneeded.

English

Use when asked to extract reusable loop patterns or YAML fragments from successful execution history.

English

Use when asked to format an issue or fix its template structure.

English

Use when asked for an adversarial go/no-go review or whether an issue is worth implementing.

English

Use when asked to evaluate issue size, decompose large issues, or audit backlog complexity.

English

Manage GitHub issues workflow - update status, add comments, create follow-ups. Use when starting work on an issue, completing an issue, or encountering blockers. Triggers on "issue", "close issue", "update issue", "blocked".

English

Discover orphaned issues and propose parent EPIC assignments via Jaccard similarity scoring.

English

Use when asked to capture or create an issue from conversation or natural language.

English

Use when asked for an adversarial go/no-go review or whether an issue is worth implementing.

English

Analyze user message history to suggest FSM loop configurations automatically. Uses ll-messages output to identify repeated workflows and generate ready-to-use loop YAML. Also supports --from-commands mode to suggest loops from the available command/skill catalog without requiring message history, and --from-sequences mode to suggest loops from ll-logs sequences n-gram output.

English

Analyze and validate an issue file for accuracy, utility, and completeness, then auto-correct to make implementation-ready or close if…

English

Refine issue files with codebase-driven research to fill knowledge gaps needed for…

English

Use when asked to implement an issue end-to-end or start implementing FEAT-NNN.

English

Use when asked to find dependencies between issues or prepare a dependency-aware sprint plan.

English

Use when asked to analyze product goals, check feature gaps, or evaluate business value. Returns raw YAML findings. For full scan with issue file creation, use /ll:scan-product.

English

Includes Adversarial Verify Loop, Analyze History, Audit Claude Config, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills31CategorygeneralStars0

What’s included

Adversarial Verify Loop

Use when asked to generate an FSM adversarial verification loop YAML that tries to break a feature via boundary values, malformed inputs, and failure modes.

Analyze History

Use when asked about project health, velocity, bug trends, or whether we're making progress.

Audit Claude Config

Use when asked to audit Claude Code config, validate plugin settings, or diagnose plugin issues.

Audit Issue Conflicts

Use when asked to detect conflicting requirements or incompatible decisions across open issues.

Audit Loop Run

Use when asked to assess loop effectiveness, audit goal achievement, or detect phantom success.

Cleanup Loops

Use when asked to clean up stuck loops, kill dead loop processes, or troubleshoot loop state.

Create Eval from Issues

Use when asked to generate an FSM eval harness YAML from one or more issue IDs, or DSL eval tasks from a loop/issue file with --dsl.

Create Loop

Use when asked to create an automation loop or automate a recurring task with an FSM.

Debug Loop Run

Use when asked to analyze loop execution history, investigate loop failures, or find loop issues.

Decide Issue

Use when asked to select the winning implementation option for an issue with decisionneeded.

Distill Traces

Use when asked to extract reusable loop patterns or YAML fragments from successful execution history.

Format Issue

Use when asked to format an issue or fix its template structure.

Go No Go

Use when asked for an adversarial go/no-go review or whether an issue is worth implementing.

Issue Size Review

Use when asked to evaluate issue size, decompose large issues, or audit backlog complexity.

Issue Workflow

Manage GitHub issues workflow - update status, add comments, create follow-ups. Use when starting work on an issue, completing an issue, or encountering blockers. Triggers on "issue", "close issue", "update issue", "blocked".

Link Epics

Discover orphaned issues and propose parent EPIC assignments via Jaccard similarity scoring.

Ll Capture Issue

Use when asked to capture or create an issue from conversation or natural language.

Ll Go No Go

Use when asked for an adversarial go/no-go review or whether an issue is worth implementing.

Ll Loop Suggester

Analyze user message history to suggest FSM loop configurations automatically. Uses ll-messages output to identify repeated workflows and generate ready-to-use loop YAML. Also supports --from-commands mode to suggest loops from the available command/skill catalog without requiring message history, and --from-sequences mode to suggest loops from ll-logs sequences n-gram output.

Ll Ready Issue

Analyze and validate an issue file for accuracy, utility, and completeness, then auto-correct to make implementation-ready or close if invalid

Ll Refine Issue

Refine issue files with codebase-driven research to fill knowledge gaps needed for implementation

Manage Issue

Use when asked to implement an issue end-to-end or start implementing FEAT-NNN.

Map Dependencies

Use when asked to find dependencies between issues or prepare a dependency-aware sprint plan.

Product Analyzer

Use when asked to analyze product goals, check feature gaps, or evaluate business value. Returns raw YAML findings. For full scan with issue file creation, use /ll:scan-product.

Showing 24 of 31 skills. Use the list’s page controls above to explore the rest.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Adversarial Verify Loop skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas