Skip to content
cccskills
FreePublished on GitHub

issue-tracking

Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.

The English summary is being prepared. Showing the original description.

See how to install

Files included (2)

  • SKILL.md1.2 KB
  • README.md516 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

  • Tracking bead progress and status
  • Managing bead dependencies
  • Collecting attribution data for agent evaluation

Bead Lifecycle

  1. Created: Bead defined with scope and acceptance criteria
  2. Assigned: Bead placed on agent's hook
  3. In Progress: Agent actively working (GUPP enforced)
  4. Review: Work complete, awaiting merge review
  5. Done: Merged and verified (gt done)
  6. Destroyed: Wisps only - cleaned up after landing

Attribution

All work carries persistent attribution:

  • Which agent completed the bead
  • Time taken and quality score
  • Used for A/B testing agent configurations
  • Feeds into agent evaluation and scoring

Tool Use

Used within convoy management and orchestrator processes.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Provide implementations of advanced data structures

The English summary is being prepared. Showing the original description.

a5c-ai/babysitter1.9KUpdated Sep 17, 2026

Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.

The English summary is being prepared. Showing the original description.

a5c-ai/babysitter1.9KUpdated Sep 17, 2026

WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.

The English summary is being prepared. Showing the original description.

a5c-ai/babysitter1.9KUpdated Sep 17, 2026

Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.

The English summary is being prepared. Showing the original description.

a5c-ai/babysitter1.9KUpdated Sep 17, 2026

Generate visual representations of algorithm execution

The English summary is being prepared. Showing the original description.

a5c-ai/babysitter1.9KUpdated Sep 17, 2026

Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.

The English summary is being prepared. Showing the original description.

a5c-ai/babysitter1.9KUpdated Sep 17, 2026

See all skills by a5c-ai

Report a problem with this skill