Recommend the next Compound Engineering skill from workflow artifacts and session history.
npx skills add https://github.com/leing2021/super-pi --skill 06-next
Please help me install this Agent Skill. Skill: 06-next Source: https://github.com/leing2021/super-pi/tree/main/skills/06-next Command: npx skills add https://github.com/leing2021/super-pi --skill 06-next
It eliminates decision paralysis by inspecting your existing workflow artifacts and recommending the single best next skill to run in the Compound Engineering loop.
Ask for the next action by telling your agent: what should I do next, and it will suggest exactly one /skill:<id> based on the current artifacts.
High-intent search queries and answers about installing and using this skill.
To determine the next workflow step, inspect existing project artifacts and runtime context to recommend a single best action. This approach prevents decision paralysis by analyzing current phase health and suggesting exactly one relevant skill to execute next.
Yes, you can generate a project status report with phase and health assessment by requesting a full status update. The system analyzes your workflow artifacts and runtime context to provide a verbose report alongside a deterministic next-skill recommendation.
Context-first priority logic evaluates workflow state and health transition signals before applying fallback artifact-count rules. This ensures recommendations are driven by actual runtime context and current project phase rather than simple artifact quantities.
Yes, next-step recommendations avoid repeating completed phases by using session history for disambiguation. This history-aware guidance checks previously executed steps to ensure the suggested action moves the workflow forward without duplication.
Artifact inspection for workflow state analysis is limited when context-health and transition signals are absent, forcing reliance on fallback artifact-count rules. It only outputs a recommendation without executing the skill, requiring manual user action to proceed.
refactory-langGenerate baseline-spec.md and current-state.md from codebase and git history.
lhpaulExecute the canonical project-setup protocol to generate project artifacts.
aslaiiRestore project state and route to the next command from checkpoints.
sarimofficialAudit, fill gaps, test, and report readiness for the next project phase.
