Agent skill

retrospect

Summarize or retrospect on one or more completed Babysitter runs.

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/plugins/babysitter-github/skills/retrospect

SKILL.md

retrospect

Load and use the installed babysit skill.

Resolve the request in retrospect mode:

  • treat everything after $retrospect as the run selector(s) to summarize
  • focus on the run history, outcomes, lessons, and gaps
  • do not create a separate command surface here; this skill only forwards into babysit

Phase 1: Resolve Target Run(s)

  • If --all or "all" is present in args: list all runs via ls -lt .a5c/runs/ and collect all completed/failed run IDs
  • If multiple run IDs are provided: use all of them
  • Otherwise: existing behavior (resolve the latest single run)
  • Use interactive prompts to confirm run selection when possible

Phase 2: Load Run Data

For each selected run, load:

  • run.json metadata
  • Journal events
  • Task definitions and results
  • State snapshots

Phase 3: Analysis

Perform standard per-run analysis (outcomes, process effectiveness, suggestions).

Cross-Run Pattern Analysis (multi-run mode)

When analyzing multiple runs, additionally cover:

  • Common failure modes across runs
  • Velocity trends (tasks/time across runs)
  • Process evolution (how processes changed over time)
  • Repeated breakpoint patterns

Phase 4: Suggestions

Provide actionable suggestions for process improvements, optimizations, and fixes.

Phase 5: Implementation

If the user agrees, implement improvements to processes, skills, or configuration.

Phase 6: Cleanup Suggestion

After analysis, suggest: "Consider running babysitter cleanup (or /babysitter:cleanup) to clean up old run data and reclaim disk space."

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results