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Starlight-IntelligenceStarlight-Intelligence/starlight-agent-skills/skills/coding/starlight-autoplan/SKILL.md

starlight-autoplan

Skill1 starsChanged 4 months agoMITView on GitHub

Review a non-trivial implementation plan through product, engineering, design, and developer-experience lenses, then reconcile the findings into an evidence-gated execution plan. Use when a change crosses multiple systems, carries meaningful risk, or needs an explicit build/no-build decision.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈8

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not invoke the full review for a trivial, reversible edit unless the user asks for it.

    line 19
  2. Distinctive:

    Run four lenses: product value, engineering integrity, design quality, and developer/operator experience.

    line 32
  3. Distinctive:

    Stop for human direction before destructive, costly, public, or credential-bearing actions.

    line 36
  4. Distinctive:

    When the same agent performs every lens, disclose that the review was sequential rather than independent.

    line 38
  5. Distinctive:

    Use repository search, tests, type/lint gates, preview deployments, and an approved browser connector when relevant.

    line 60
  6. Distinctive:

    No claim that AI makes execution free or removes operational ownership.

    line 64
  7. Distinctive:

    No speculative expansion without a stated user outcome.

    line 65
  8. Distinctive:

    Every high-risk step has a verifier and rollback.

    line 67

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Starlight Autoplan

Purpose

Turn a rough proposal into a bounded plan whose assumptions, risks, authority limits, and verification gates are visible before implementation begins.

When it fires

  • The user asks to review, harden, or stress-test a plan.
  • The work crosses product, data, security, design, runtime, or deployment boundaries.
  • A wrong decision would be expensive or difficult to reverse.

Do not invoke the full review for a trivial, reversible edit unless the user asks for it.

Inputs

  • Desired user outcome and explicit non-goals.
  • Current repository or system evidence.
  • Time, cost, compatibility, privacy, and authority constraints.
  • Known failure history and required verification commands.

Workflow

  1. Restate the outcome, success criteria, non-goals, and unresolved assumptions.
  2. Select review depth proportional to reversibility and impact.
  3. Run four lenses: product value, engineering integrity, design quality, and developer/operator experience.
  4. Give every finding an evidence reference, confidence level, and consequence.
  5. Reconcile contradictions; never silently average incompatible recommendations.
  6. Produce the smallest coherent execution sequence with rollback and promotion gates.
  7. Stop for human direction before destructive, costly, public, or credential-bearing actions.

When the same agent performs every lens, disclose that the review was sequential rather than independent.

Output contract

Return:

  • decision: build, revise, defer, or stop.
  • scope: user-visible outcome, non-goals, and affected surfaces.
  • assumptions: verified, inferred, and unresolved items kept separate.
  • reviews: findings from each lens with severity and evidence.
  • execution_plan: ordered, independently verifiable steps.
  • verification: automated, manual, security, accessibility, and deployment gates as applicable.
  • artifacts: plan, decision, rollback, and verification records with stable references.
  • failure_conditions: conditions that force revise, defer, or stop.
  • verification_receipts: one receipt per applicable gate with gate, result, evidence, and owner.
  • rollback: safe recovery path and ownership.
  • human_gates: decisions the agent may not make.

Return decision: build only when every gate applicable before implementation has a passing verification receipt. Record later-stage gates as pending; when their decision point arrives, a failed or missing applicable receipt blocks promotion and requires revise, defer, or stop.

Tools & MCP

Use repository search, tests, type/lint gates, preview deployments, and an approved browser connector when relevant. Do not enable connectors, spend money, publish, merge, or mutate external systems merely because a plan mentions them.

Quality bar

  • No claim that AI makes execution free or removes operational ownership.
  • No speculative expansion without a stated user outcome.
  • Evidence and inference are distinguishable.
  • Every high-risk step has a verifier and rollback.
  • The plan can be handed to another operator without hidden context.

Example

Input: “Add a self-service agent marketplace with portable plugins.”

Good output: a revise decision that separates catalog, package, installer, evaluation, and promotion contracts; identifies marketplace approval and credential handling as human gates; and gives exact API, schema, preview, security, and rollback checks.


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