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BuilderIO/plow-ahead

BuilderIO

plow-ahead

Use when the user explicitly wants autonomous progress without routine clarification stops: "plow ahead", "do not stop", "use your best judgment", "keep going until done", "finish while I am away", "do not ask questions unless truly blocked", or similar. Convert ordinary ambiguity into stated assumptions, proceed through implementation and validation, stop only for true blockers, and end with a clear recap of decisions, changes, verification, and residual risk.

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New~959
v1.0Saved Jul 11, 2026

Plow Ahead

Proceed through ordinary ambiguity. Make reasonable assumptions, keep momentum, validate as you go, and make the final recap strong enough that the user can see what decisions were made while they were away.

Autonomy Contract

Treat the user's instruction as permission to continue through normal uncertainty:

  • Turn routine questions into explicit assumptions.
  • Prefer the smallest reversible choice that satisfies the request.
  • Use repo conventions, nearby patterns, local docs, tests, and existing product behavior as the decision source.
  • Keep working through normal test failures, missing context, implementation choices, and minor ambiguity.
  • Use subagents for independent research, implementation, or verification when parallel work can reduce idle time or improve coverage.
  • Do not pause merely to ask which reasonable option the user prefers. Pick one, record why, and keep going.

Stop Conditions

Stop and ask only for true blockers:

  • Required credentials, secrets, accounts, paid services, or private data are unavailable.
  • The next step would be destructive, irreversible, or production-mutating.
  • The task requires an explicit branch operation, history rewrite, force push, or deletion that the user did not directly request.
  • Legal, safety, privacy, or security risk is high and cannot be reduced by a conservative local choice.
  • The user explicitly reserved a decision for themselves.
  • A verification failure repeats after reasonable investigation and the next fix would be speculative or broad.

If blocked, leave a self-contained handoff: what was done, what blocks progress, what exact input is needed, and the next command or file to inspect.

Decision Rules

When choosing without the user:

  1. Reuse existing patterns before inventing new ones.
  2. Prefer local, reversible, low-blast-radius changes.
  3. Keep scope tight to the user's request.
  4. Choose correctness and maintainability over cleverness.
  5. Validate with the smallest meaningful test first, then broaden only when the risk justifies it.
  6. If two options are close, choose the one that is easier for the user or a reviewer to understand later.

Maintain a lightweight decision log while working. It can live in notes, the plan, or your final answer, but do not create a new repo artifact unless the task needs one.

Work Loop

  1. Restate the goal internally and identify likely acceptance criteria.
  2. Inspect the real files, docs, issue, PR, screenshots, or runtime behavior before editing.
  3. Make assumptions explicit, then act on them.
  4. Implement in small coherent steps.
  5. Run targeted validation and fix issues found by validation.
  6. Repeat until the requested work is complete or a stop condition applies.
  7. Before final response, review the diff and verification evidence against the original request.

Final Recap

End with a recap that makes autonomous decisions auditable:

Goal
- What you completed.

Key decisions
- Assumptions and choices made without stopping, with short reasons.

Changes
- Files, behavior, docs, or configuration changed.

Validation
- Commands, tests, screenshots, CI, or manual checks run and their result.

Remaining risk
- Anything not verified, deferred, or blocked.

Keep the recap factual. Do not hide uncertainty, skipped validation, or judgment calls.

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Overall Score

87/100

Grade

A

Excellent

Safety

88

Quality

86

Clarity

88

Completeness

84

Summary

This skill guides AI agents to work autonomously through routine ambiguity without pausing for clarification. It converts ordinary questions into explicit assumptions, maintains momentum through implementation choices, and stops only for true blockers (credentials, destructive operations, production mutations, or high-risk scenarios). The agent delivers a final recap documenting decisions, changes, validation, and residual risk.

Detected Capabilities

file readdecision loggingautonomous implementationvalidation executiondocumentation generation

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

plow aheadkeep working autonomouslydo not stop for questionsfinish while awayautonomous implementationmake assumptions and proceed

Risk Signals

INFO

Autonomy over destructive operations is gated by stop conditions (credentials, destructive, production-mutating, branch/history rewrites)

Stop Conditions section
INFO

Skill defines explicit blockers that halt autonomous execution before risky actions (credentials, secrets, paid services, private data unavailable)

Stop Conditions section
INFO

No reference to credential access, privilege escalation, or data exfiltration in permitted operations

Autonomy Contract and Decision Rules sections

Use Cases

  • Complete feature implementation without clarification stops
  • Finish work while user is away or offline
  • Make conservative implementation choices based on repo patterns
  • Reduce handoff cycles by recording all autonomous decisions
  • Handle routine test failures and missing context without asking
  • Audit autonomous agent decisions through detailed recap

Quality Notes

  • Skill defines clear autonomy boundaries with explicit stop conditions that prevent destructive, irreversible, or production-mutating actions
  • Decision rules emphasize reversibility, low blast radius, and repo-consistent patterns — conservative defaults for autonomous work
  • Final recap template is concrete and auditable, enabling users to review decisions made while absent
  • Stop conditions explicitly enumerate true blockers (credentials, destructive ops, branch operations, security/safety risks) — well-calibrated for reducing false pauses while preventing harm
  • Autonomy Contract section clearly states the agent should not pause for routine uncertainty — distinguishes this from generic 'helpful assistant' mode
  • Work loop is structured with clear phases: inspect, assume, implement, validate, recap — provides procedural guidance without excessive detail
  • README provides clear activation triggers ('plow ahead', 'do not stop', 'keep going') and contrasts when NOT to use (brainstorm, compare, wait for approval)
  • YAML interface config is minimal but sufficient — display name and short description are clear
Model: claude-haiku-4-5-20251001Analyzed: Jul 11, 2026

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