Voice to Text for GitHub Issues

Open GitHub Issues That Strangers Can Act On

Vague issues bounce. Speak problem, repro, and acceptance criteria into Voiskey at the cursor. Free to start.

Why Issues Bounce

Maintainers cannot guess your environment. Contributors cannot guess done. Typing a careful issue feels like unpaid work—so it stays thin.

Dictating while the failure is on screen is faster than writing from memory after dinner.

An Issue Spine You Can Speak

Problem, version, steps, expected, actual, and what good looks like. Link related PRs after.

GitHub issue spine:

  1. Problem in one sentence
  2. Version and environment
  3. Repro steps
  4. Expected vs actual
  5. Acceptance criteria

Issues Worth Dictating

Bug Reports

Repro while the stack trace is still open.

Feature Requests

User story and non-goals without a manifesto.

Good First Issues

Scope a bite-sized task newcomers can finish.

RFC Tracking Issues

Link the debate and name remaining questions.

Upstream Reports

Minimal repro for maintainers outside your company.

Release Blockers

Impact and workaround for triage speed.

Dictate in github.com or the IDE

Use Voiskey in the issue form, comment box, or GitHub in VS Code. Add project names to vocabulary so they land clean.

Workflows around issues:

  • Issue body draftsVoice typing for notes
  • Issue comment threadsVoice typing for messages
  • Maintainer email follow-upsVoice typing for emails
  • Team triage summariesVoice typing for teams
  • Triage meeting notesVoice typing for meetings

FAQ s

Yes. Move through each section and speak under the headings your repo already defines.

Paste error output. Dictate the human explanation around it.

Yes. Internal issues suffer the same vagueness problem—and the same fix.

No. It only produces text. You still set metadata in GitHub.

Say less. Get more
Say less. Get more
Say less. Get more
Say less. Get more
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