Evaluates a skill library to identify which SKILL.md files would produce valuable autonomous agents when converted via /formula-create. Use when assessing a repository of skills for agent creation candidates, prioritizing which skills to convert to formulas, or auditing an existing agent roster for gaps.
EnglishValidate the architectural ALTITUDE of a stated root cause or proposed fix before peer review or implementation. Interrogates the frame itself — whether the concern exists because of an abstraction that could be removed — before mapping enforcement sites within the concern. Tests whether a different boundary could DELETE the concern's substrate, not merely reorganize its enforcement. Invoked as a gate from /rootcause-all (after synthesis), /design-v5 (between Phase 3 and Phase 4), and /rootcause-review (at intake). Can also be invoked standalone.
EnglishCreate a new agentfactory formula from a description or SKILL.md file. Generates a properly structured TOML formula with steps, dependencies, inputs, and iteration mechanisms. When given a SKILL.md, preserves phase gates as separate formula steps with enforcement language.
EnglishLean, adaptive implementation skill that classifies task complexity and scales process accordingly. Uses native Claude Code sub-agents and checkpoints for speed and token efficiency while maintaining quality gates.
EnglishPerform scientific peer review of a rootcauseanalysis.md document, validating all claims with independent verification. Appends review findings without modifying original content.
EnglishChallenges the quality of any completed review or assessment to determine what would achieve six-sigma (99.9999%) quality outcome. Works with scored reviews (X/10), qualitative reviews (PASS/FAIL), or unstructured assessments. Identifies gaps, independently discovers missed issues, stress-tests each proposed improvement for feasibility including logical impossibilities, and appends a "Six-Sigma Caveats" section. Use when a review is less than perfect, when the user asks "what would make this perfect," or after any quality gate completes.
EnglishIncludes Agentic Skill Eval, Architecture Elevation, Formula Create, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Agentic Skill Eval
Evaluates a skill library to identify which SKILL.md files would produce valuable autonomous agents when converted via /formula-create. Use when assessing a repository of skills for agent creation candidates, prioritizing which skills to convert to formulas, or auditing an existing agent roster for gaps.
Architecture Elevation
Validate the architectural ALTITUDE of a stated root cause or proposed fix before peer review or implementation. Interrogates the frame itself — whether the concern exists because of an abstraction that could be removed — before mapping enforcement sites within the concern. Tests whether a different boundary could DELETE the concern's substrate, not merely reorganize its enforcement. Invoked as a gate from /rootcause-all (after synthesis), /design-v5 (between Phase 3 and Phase 4), and /rootcause-review (at intake). Can also be invoked standalone.
Formula Create
Create a new agentfactory formula from a description or SKILL.md file. Generates a properly structured TOML formula with steps, dependencies, inputs, and iteration mechanisms. When given a SKILL.md, preserves phase gates as separate formula steps with enforcement language.
Rapid Implement
Lean, adaptive implementation skill that classifies task complexity and scales process accordingly. Uses native Claude Code sub-agents and checkpoints for speed and token efficiency while maintaining quality gates.
Rootcause Review
Perform scientific peer review of a rootcauseanalysis.md document, validating all claims with independent verification. Appends review findings without modifying original content.
Six Sigma Challenge
Challenges the quality of any completed review or assessment to determine what would achieve six-sigma (99.9999%) quality outcome. Works with scored reviews (X/10), qualitative reviews (PASS/FAIL), or unstructured assessments. Identifies gaps, independently discovers missed issues, stress-tests each proposed improvement for feasibility including logical impossibilities, and appends a "Six-Sigma Caveats" section. Use when a review is less than perfect, when the user asks "what would make this perfect," or after any quality gate completes.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- 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:
Use the Agentic Skill Eval 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: AGPL-3.0. The author’s terms apply.