goal-crafter

Craft a paste-ready Pi /goal command from session context and repository evidence.

2|Updated May 5, 2026
One-click install
npx skills add https://github.com/OrestesK/pi --skill goal-crafter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: goal-crafter
Source: https://github.com/OrestesK/pi/tree/main/skills/goal-crafter
Command: npx skills add https://github.com/OrestesK/pi --skill goal-crafter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns scattered session context, repository evidence, and unfinished work into a clear, durable Pi goal without prematurely starting or implementing the task.

Core Features & Use Cases

  • Evidence-Grounded Goal Design: Reconstructs objectives, constraints, decisions, blockers, and verification needs from current instructions, session history, artifacts, and repository sources.
  • Adaptive Continuation Planning: Creates long-horizon or bounded goals with explicit scope, acceptance criteria, verification steps, safe continuation behavior, and supported blocker conditions.
  • Use Case: When a complex coding task needs to continue across compactions or idle boundaries, use this Skill to produce a paste-ready goal that preserves context and drives measurable progress without hardcoding stale findings.

Quick Start

Ask the goal-crafter skill to turn the current work into one paste-ready Pi goal command.

Frequently Asked Questions about goal-crafter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn scattered session context into a structured task plan with acceptance criteria?

Goal crafting reconstructs objectives, constraints, and verification needs from session history and repository evidence to produce a paste-ready task plan. It analyzes current instructions and artifacts to build evidence-grounded scope and durable continuation instructions.

What is the best way to maintain session continuity for complex coding tasks across idle boundaries?

Adaptive continuation planning preserves context by creating long-horizon goals with explicit scope and safe continuation behavior. It ensures measurable progress across compactions without hardcoding stale findings or prematurely starting implementation.

How do I generate a Pi goal command from current repository evidence and unfinished work?

Goal crafting extracts decisions, blockers, and verification requirements from repository sources and session history to output one paste-ready Pi goal command. It applies evidence-grounded scope and acceptance criteria without starting the goal implementation.

Does goal crafting require predefined acceptance criteria and verification steps before generating a task?

No, goal crafting derives acceptance criteria and verification steps directly from current instructions, session history, and repository artifacts. It reconstructs these elements automatically to ensure the generated goal has measurable safety boundaries.

Can I use goal crafting for broad session-history research instead of explicit goal creation?

Yes, goal crafting applies to explicit goal creation, refinement, continuation planning, and broad session-history research for coding and workflow tasks. It reconstructs objectives and constraints from available session context and repository evidence.

What are the limitations of using automated goal crafting for workflow automation?

Goal crafting produces a ready-to-run goal command but does not start or implement the goal itself. It requires sufficient repository evidence and session context to ground scope, meaning incomplete sessions may yield less accurate continuation instructions.