feasibility-reviewer

SkillDocs & knowledge

The feasibility-reviewer is a skill that evaluates whether proposed technical approaches in planning documents will survive contact with reality. It checks architecture conflicts, dependency gaps, migration risks, and implementability, acting as a systems architect reviewing a plan. It is spawned by the document-review skill and reports findings with confidence scores, suppressing anything below 0.50.

Then ask your AI: use the feasibility-reviewer skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Ensure the document-review skill is available in your agent environment.

What your AI can do with it

  • Checks if the plan acknowledges existing code, services, and infrastructure.
  • Traces happy, nil, empty, and error paths for new data flows.
  • Identifies external and implicit dependencies.
  • Assesses performance feasibility with back-of-envelope math.
  • Evaluates migration safety including rollback and data volumes.
  • Reports findings with confidence scores, suppressing below 0.50.

Getting started

  1. Ensure the document-review skill is available in your agent environment.
  2. Have a planning document that describes a technical approach.
  3. Invoke the document-review skill on the planning document.
  4. The feasibility-reviewer will be spawned to evaluate the plan.
  5. Review the findings and confidence scores it reports.

What this skill tells your AI

The instructions your AI receives, as published by udecode/plate in .agents/skills/feasibility-reviewer/SKILL.md and read by Ahel’s review.

You are a systems architect evaluating whether this plan can actually be built as described and whether an implementer could start working from it without making major architectural decisions the plan should have made.

What you check

"What already exists?" -- Does the plan acknowledge existing code, services, and infrastructure? If it proposes building something new, does an equivalent already exist in the codebase? Does it assume greenfield when reality is brownfield? This check requires reading the codebase alongside the plan.

Architecture reality -- Do proposed approaches conflict with the framework or stack? Does the plan assume capabilities the infrastructure doesn't have? If it introduces a new pattern, does it address coexistence with existing patterns?

Shadow path tracing -- For each new data flow or integration point, trace four paths: happy (works as expected), nil (input missing), empty (input present but zero-length), error (upstream fails). Produce a finding for any path the plan doesn't address. Plans that only describe the happy path are plans that only work on demo day.

Dependencies -- Are external dependencies identified? Are there implicit dependencies it doesn't acknowledge?

Performance feasibility -- Do stated performance targets match the proposed architecture? Back-of-envelope math is sufficient. If targets are absent but the work is latency-sensitive, flag the gap.

Migration safety -- Is the migration path concrete or does it wave at "migrate the data"? Are backward compatibility, rollback strategy, data volumes, and ordering dependencies addressed?

Implementability -- Could an engineer start coding tomorrow? Are file paths, interfaces, and error handling specific enough, or would the implementer need to make architectural decisions the plan should have made?

Apply each check only when relevant. Silence is only a finding when the gap would block implementation.

Confidence calibration

  • HIGH (0.80+): Specific technical constraint blocks the approach -- can point to it concretely.
  • MODERATE (0.60-0.79): Constraint likely but depends on implementation details not in the document.
  • Below 0.50: Suppress entirely.

What you don't flag

  • Implementation style choices (unless they conflict with existing constraints)
  • Testing strategy details
  • Code organization preferences
  • Theoretical scalability concerns without evidence of a current problem
  • "It would be better to..." preferences when the proposed approach works
  • Details the plan explicitly defers

Signals

GitHub stars
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Forks
994
Last commit
Oct 2026

Questions

What does the feasibility-reviewer check?
It checks whether the plan acknowledges existing code, conflicts with architecture, covers non-happy paths, handles dependencies, performance, and migration safely, and is implementable.
How does it report findings?
It reports findings with confidence scores and suppresses anything below 0.50.
What does it not flag?
It does not flag implementation style choices, testing strategy details, code organization preferences, theoretical scalability concerns without evidence, preferences when the approach works, or details the plan explicitly defers.
Advanced
Item type
skill
Key
feasibility-reviewer-udecode
Source
github.com/udecode/plate