@boshu2

release handles the full pipeline from code readiness through tagged commit and ci verification, including changelog generation, version bumps, and dry-run validation before publishing.

pr-implement executes scoped oss contributions via fork isolation, enforcing single-concern commits through blocking pre and post-checks against scope creep and mixed concerns.

trace reconstructs the evolution of architectural decisions by searching cass sessions, git history, handoff docs, and research artifacts, then produces a cited chronological timeline showing what changed, why, and by whom.

handoff captures session state and context into structured markdown documents with continuation prompts, enabling seamless resumption by the next session without losing work-in-progress state or decision context.

swarm spawns isolated parallel agents within a runtime-native backend (claude teams, codex, or fallback), respects dependency ordering and ownership constraints via pre-spawn validation, and implements fresh-context isolation per wave using filesystem persistence and messaging coordination.

bug-hunt provides a 4-phase investigation framework (root cause, pattern, hypothesis, fix) for reactive bug triage and proactive audits. outputs structured markdown reports to .agents/research/.

vibe evaluates code readiness at a slice-level quality gate by scanning complexity, hunting bugs, and applying multi-model validation to emit pass/warn/fail signals.

forge extracts candidate learnings from session transcripts and queues them for filtering by a promotion ratchet. runs via sessionend hook to populate a learnings registry without requiring manual intervention.

rpi orchestrates discovery, crank, and validation phases in an autonomous workflow loop, delegating to specialized skills while enforcing invariants across the operating cycle.

pr-research guides systematic exploration of upstream repositories to understand contribution workflows and project structure before submitting pull requests to external codebases.

codex-team orchestrates parallel agent execution with lock-based file conflict prevention. agents handle discrete tasks while the lead prevents concurrent writes to the same resources.

complexity identifies refactoring candidates by analyzing code metrics and reporting hotspots. procedurally incomplete and lacks actionable recovery paths for common failure states.

doc generates and validates project documentation by detecting project type and scanning for existing docs, but lacks complete workflow definition and recovery mechanisms.

update pulls the latest agentops skills from a github repository and reinstalls them globally via a curl-piped shell script. execution is incomplete.

post-mortem wraps completed work by validating correctness, extracting learnings, processing backlogs, and promoting insights into persistent memory. operates within a six-phase loop with runtime dependencies on hook surfaces.

converter transforms agentops skills between platform formats via a three-stage parse-convert-write pipeline, but lacks actionable procedure detail and failure handling.

skill wraps openai developer docs lookups via mcp server with fallback to web search. provides product summaries but lacks actionable workflows or decision logic.

goals manages agentops goal state via yaml and markdown files using the ao goals cli, but lacks procedural detail and practical workflow documentation.

shared is a collection of reference documents and validation contracts used as dependencies by other skills. not directly invocable. minimal structural definition.

Run multi-judge consensus. Use when: an irreversible or high-stakes decision needs independent judges before committing — architecture forks, one-way doors,…

Show AgentOps work status.

Validate PR scope and quality.

Provide repo coding standards.

Plan an open source PR.

Repair skill hygiene.

Record Brownian Ratchet gates.

Run composable security analysis.

Check knowledge flywheel health.

Explore and write findings.

Trace artifact provenance.

Explain AgentOps workflows.

Run repository security scans.

Prepare PR commits and body.

Learn from PR outcomes.

Create or refine PRODUCT.md.

Scaffold or audit OSS docs.

Reverse-engineer product specs.

Load relevant .agents context.

Track issues with bd/br, triage with bv, and convert plans to beads.

Recover session context.

Separate goals from implementation.

Capture a session learning.

Show AgentOps next action.

Implement one tracked issue.

Execute epics through waves.

Stress-test plans before work.

Decompose goals into issue plans.

evolve — an installable skill for AI agents, published by boshu2/agentops.

readme — an installable skill for AI agents, published by boshu2/agentops.