Execute an Observe-Decide loop with YAML frontmatter configuration for adaptive plan execution.
npx skills add https://github.com/twofoldtech-dakota/studio --skill building
Please help me install this Agent Skill. Skill: building Source: https://github.com/twofoldtech-dakota/studio/tree/main/playbooks/building Command: npx skills add https://github.com/twofoldtech-dakota/studio --skill building
The Building Skill introduces a plan-and-execute methodology that helps AI agents and teams perform adaptive plan execution with replanning, ensuring progression even when reality deviates from the plan.
Use the Building Skill to plan a task, execute steps, observe results, and trigger replanning if criteria fail.
High-intent search queries and answers about installing and using this skill.
Plan-and-execute workflows solve adaptive task progression by integrating planning, action, and learning loops. The methodology uses an Execute-Observe-Decide loop to handle uncertainty, applying fixes and refining plans when reality deviates from the original strategy.
Use an adaptive plan-and-execute loop configured via YAML to replan when criteria fail. The loop drives through execute, validate, analyze, and fix phases, automatically evaluating outcomes and applying real-time fixes to ensure continuous workflow progression.
Yes, you configure execution loop phases using YAML frontmatter and a loop-config file at data/loop-configs/builder.yaml. This setup drives the execute, validate, analyze, fix, complete, and escalate phases for your software engineering workflow.
Use a replanning execution loop when task uncertainty is high and reality may deviate from your initial plan. It handles uncertainty by observing outcomes, evaluating progress, and dynamically refining the strategy to ensure continuous progression toward completion.
Yes, adaptive workflow execution integrates a Learning Capture Phase to extract insights after task completion. Once the execute, validate, and fix phases finish successfully, the system captures learning readiness to help agents improve future plan-and-execute cycles.
sigridjinethCreate a structured PRD file at `.omc/plans/prd-{slug}.md`.
AskTinNguyenExtract and organize learnings from completed work into .context/learnings.
valorisaStructure iterative GitHub repository tasks into an observe-decide-execute-verify loop.
EthansuttorGenerate adaptive GOAP action sequences for complex objectives.
