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Debugging · Version 1.0.0 · Reviewed 2026-08-02

End-to-End Bugfix Orchestrator

Diagnose bug reproduction workflow and test-first fix coordination with evidence, explicit trade-offs, and a verification plan.

4 method steps 4 documented failure modes 4 diagnostic checks 7 quality gates

Coordinates bug intake, reproduction, causal diagnosis, test-first repair, focused review, and pull request publication. It grounds the decision in the bug report, affected revision, logs, reproduction environment, source, tests, constraints, and acceptance evidence and explicitly prevents coding from the reported symptom, broad refactoring before reproduction, or publishing after tests pass on a different path.

₹299 one-time

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What this skill helps you do

  • Bug reproduction workflow
  • Test-first fix coordination
  • Bugfix pull request readiness

How End-to-End Bugfix Orchestrator works

You provide

Symptoms, timestamps, recent changes, and logs

It inspects

Correlated subset and first failing component for bug reproduction workflow

It decides

A ranked cause for test-first fix coordination that explains recovery too

You verify

The cheapest discriminating test, run before the fix

What it checks first

End-to-End Bugfix Orchestrator coordinates bug intake, reproduction, causal diagnosis, test-first repair, focused review, and pull request publication. It grounds the decision in the bug report, affected revision, logs, reproduction environment, source, tests, constraints, and acceptance evidence and explicitly prevents coding from the reported symptom, broad refactoring before reproduction, or publishing after tests pass on a different path. Use it when the work involves Bug reproduction workflow, Test-first fix coordination, Bugfix pull request readiness.

  1. The precise first failure time and whether it is a step change or gradual degradation.
  2. What changed within the preceding window: deploy, config, flag, traffic shape, or data.
  3. Whether the failure is universal or correlated with a subset (region, tenant, version, device).
  4. Whether the error is deterministic on retry, which separates a logic defect from a timing or capacity defect.

Failure modes it recognizes

  • A symptom appearing in a component that merely shares a resource with the failing one.
  • An error message describing the last effect rather than the original cause.
  • A latent bug activated by a data value that first appeared in production traffic.
  • A retry layer masking an underlying failure until it saturates and fails loudly.

Answers it will reject

  • Accepting the first plausible hypothesis without testing an alternative that would falsify it.
  • Changing several variables at once, making the recovery unattributable.
  • Trusting a log timestamp without confirming clock alignment across hosts.

Decision rules it applies

  • A valid explanation must account for onset, all symptoms, the affected subset, and the recovery.
  • Choose the test that eliminates the most hypotheses per unit of effort.
  • If nothing in the system changed, examine the inputs.

Evidence it asks for

  • Reconstruct a timestamped timeline from artifacts, not memory.
  • Break metrics down by dimension to isolate the correlated subset.
  • Reproduce in a controlled environment before attempting a fix.

The method inside

  1. Establish what is actually true about bug reproduction workflow from the supplied evidence, and mark what is missing.
  2. Identify the mechanism behind test-first fix coordination rather than restating the symptom.
  3. Choose the smallest defensible change for bugfix pull request readiness, weighing impact, confidence, effort, and reversibility.
  4. Update confidence only when evidence changes

Deliverables

  • Bug reproduction workflow assessment
  • Test-first fix coordination decision and action plan
  • Bugfix pull request readiness verification checklist

Evidence requirements

  • Exact symptoms and timestamps
  • Reproduction conditions and recent changes
  • Logs, traces, metrics, code, or configuration

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Apply the end-to-end bugfix orchestrator to our current bug reproduction workflow work. We need a concrete decision, bounded changes, and evidence that the result is correct.

Expected output

Start with the bug report, affected revision, logs, reproduction environment, source, tests, constraints, and acceptance evidence. The highest-risk failure is coding from the reported symptom, broad refactoring before reproduction, or publishing after tests pass on a different path. Require a failing reproduction, isolate one causal mechanism, apply the smallest fix, and preserve the regression test. Verify the result by running the original reproduction plus the affected test suite from the published commit.

Boundaries and compatibility

Ideal for

  • Bug reproduction workflow: produce a decision or artifact grounded in supplied evidence.
  • Test-first fix coordination: produce a decision or artifact grounded in supplied evidence.
  • Bugfix pull request readiness: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Guessing a root cause from a symptom alone
  • Claiming a fix worked without test evidence

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.