AgentOps Workflow
using-agentops
Meta skill explaining the AgentOps workflow. Auto-injected on session start. Covers RPI workflow, Knowledge Flywheel, and skill catalog.
SKILL.md
Full skill instructions
AgentOps Workflow
You have access to the AgentOps skill set for structured development workflows.
The RPI Workflow
Research → Plan → Implement → Validate
↑ │
└──── Knowledge Flywheel ────┘
Research Phase
/research <topic> # Deep codebase exploration
/knowledge <query> # Query existing knowledge
Output: .agents/research/<topic>.md
Plan Phase
/pre-mortem <spec> # Simulate failures before implementing
/plan <goal> # Decompose into trackable issues
Output: Beads issues with dependencies
Implement Phase
/implement <issue> # Single issue execution
/crank <epic> # Autonomous single-agent execution
/swarm [--agents N] # Parallel multi-agent execution
Output: Code changes, tests, documentation
Validate Phase
/vibe [target] # Code validation (security, quality, architecture)
/post-mortem # Extract learnings after completion
/retro # Quick retrospective
Output: .agents/learnings/, .agents/patterns/
Phase-to-Skill Mapping
| Phase | Primary Skill | Supporting Skills |
|---|---|---|
| Research | /research | /knowledge, /inject |
| Plan | /plan | /pre-mortem |
| Implement | /implement | /crank (single-agent), /swarm (multi-agent) |
| Validate | /vibe | /retro, /post-mortem |
Available Skills
| Skill | Purpose |
|---|---|
/research | Deep codebase exploration |
/pre-mortem | Failure simulation before implementing |
/plan | Epic decomposition into issues |
/implement | Execute single issue |
/crank | Autonomous single-agent execution |
/swarm | Parallel multi-agent execution (Agent Farm) |
/vibe | Code validation |
/retro | Extract learnings |
/post-mortem | Full validation + knowledge extraction |
/beads | Issue tracking operations |
/bug-hunt | Root cause analysis |
/knowledge | Query knowledge artifacts |
/complexity | Code complexity analysis |
/doc | Documentation generation |
Knowledge Flywheel
Every /post-mortem feeds back to /research:
- Learnings extracted →
.agents/learnings/ - Patterns discovered →
.agents/patterns/ - Research enriched → Future sessions benefit
Natural Language Triggers
Skills auto-trigger from conversation:
| Say This | Runs |
|---|---|
| "I need to understand how auth works" | /research |
| "Check my code for issues" | /vibe |
| "What could go wrong with this?" | /pre-mortem |
| "Let's execute this epic" | /crank |
| "Spawn agents to work in parallel" | /swarm |
Issue Tracking
AgentOps uses beads for git-native issue tracking:
bd ready # Unblocked issues
bd show <id> # Issue details
bd close <id> # Close issue
bd sync # Sync with git