assess-goal-feasibility

SkillDev tools

Lets your agent check if planned goals are realistic given resources, obstacles, and deadlines, and suggest alternatives.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the assess-goal-feasibility skill

About this skill

Cross-check goal branches against resources, obstacles, and timeline; label feasible/stretch/infeasible and propose OR alternatives.

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/assess-goal-feasibility/SKILL.md and read by ahel’s review.

Purpose

Cross-check goal branches against resources, obstacles, and timeline; label each feasible, stretch, or infeasible and propose OR alternatives.

Input contract

required: [goal_branches, resource_profile, obstacle_register, timeline]
optional: [capability_evidence, dependency_graph, alternative_constraints]
constraints: [each branch must have explicit resource, obstacle, and deadline checks]

Procedure

  1. Decompose each branch into deliverables, dependencies, and required capabilities.
  2. Compare requirements with resources and obstacle severity.
  3. Test schedule against dependencies and deadline; assign feasible/stretch/infeasible.
  4. For infeasible branches, construct OR alternatives that relax a declared constraint.

If the goal is feasible and its remaining tradeoffs are resolved, consider crystallize-north-star as the next tactic.

Output contract

produces: [feasibility_matrix, blocking_obstacles, alternative_branches, timeline_rationale]
delta_fields: [findings, decisions, open_questions, recommended_jumps]

Quality gates

  • Every branch receives all three labels checks: resource, obstacle, timeline.
  • Infeasible labels identify a blocking condition and evidence.
  • Each OR alternative states the relaxed constraint and residual risk.

Parameterization

Caller supplies branch schema, resource dimensions, obstacle scale, timeline units, feasibility labels, and OR-generation policy.

Failure and counterexamples

Do not label a branch feasible when an unbounded dependency or missing capability is unexamined.

Provenance map

  • resolved: feasibility-check

Signals

GitHub stars
501
Forks
41
Last commit
Sep 2026
Advanced
Catalog kind
skill
Key
assess-goal-feasibility
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine