| name | openspec-apply-change |
| description | Implement tasks from an OpenSpec change using RuFlo Swarm coordination. Use when the user wants to start implementing, continue implementation, or work through tasks with multi-agent parallel execution. |
| license | MIT |
| compatibility | Requires openspec CLI + @claude-flow/cli |
| metadata | {"author":"openspec","contributors":["openspec","ruflo"],"version":"2.0","generatedBy":"1.2.0","swarmIntegration":true} |
Implement tasks from an OpenSpec change using RuFlo Swarm for parallel multi-agent execution.
Input: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.
Steps
-
Select the change
If a name is provided, use it. Otherwise:
- Infer from conversation context if the user mentioned a change
- Auto-select if only one active change exists
- If ambiguous, run
openspec list --json to get available changes and use the AskUserQuestion tool to let the user select
Always announce: "Using change: " and how to override (e.g., /opsx:apply <other>).
-
Check status to understand the schema
openspec status --change "<name>" --json
Parse the JSON to understand:
schemaName: The workflow being used (e.g., "spec-driven")
- Which artifact contains the tasks (typically "tasks" for spec-driven, check status for others)
-
Get apply instructions
openspec instructions apply --change "<name>" --json
This returns:
- Context file paths (varies by schema - could be proposal/specs/design/tasks or spec/tests/implementation/docs)
- Progress (total, complete, remaining)
- Task list with status
- Dynamic instruction based on current state
Handle states:
- If
state: "blocked" (missing artifacts): show message, suggest using openspec-continue-change
- If
state: "all_done": congratulate, suggest archive
- Otherwise: proceed to implementation
-
Read context files
Read the files listed in contextFiles from the apply instructions output.
The files depend on the schema being used:
- spec-driven: proposal, specs, design, tasks
- Other schemas: follow the contextFiles from CLI output
-
Show current progress & assess complexity
Display:
- Schema being used
- Progress: "N/M tasks complete"
- Remaining tasks overview
- Dynamic instruction from CLI
Assess if Swarm is needed:
- Use Swarm for: 2+ independent tasks, cross-cutting concerns, complex features, time-critical work
- Skip Swarm for: 1 simple task, single-file edits, trivial changes
-
Initialize RuFlo Swarm (for complex tasks)
IF swarm is needed, initialize before task execution:
npx @claude-flow/cli@latest swarm init \
--topology hierarchical \
--max-agents 8 \
--strategy specialized
If swarm init fails: log error, continue with sequential execution
Announce:
## RuFlo Swarm Initialized
**Topology**: Hierarchical (Queen-Worker)
**Max Agents**: 8
**Strategy**: Specialized roles
-
Implement tasks (loop until done or blocked)
If Swarm is active:
- Group pending tasks by type and dependency
- Spawn agents in parallel using Task tool (ONE message, ALL agents)
- Agent types: coder, tester, reviewer, docs
- Wait for agents to return (NO polling)
- Review ALL results, then update task checkboxes
If Swarm is NOT active (simple tasks):
- For each pending task:
- Show which task is being worked on
- Make the code changes required
- Keep changes minimal and focused
- Mark task complete:
- [ ] → - [x]
Pause if:
- Task is unclear → ask for clarification
- Implementation reveals a design issue → suggest updating artifacts
- Error or blocker encountered → report and wait for guidance
- User interrupts
-
On completion or pause, show status
Display:
- Tasks completed this session
- Overall progress: "N/M tasks complete"
- If all done: suggest archive AND shutdown swarm
- If paused: explain why and wait for guidance
Output During Implementation
## Implementing: <change-name> (schema: <schema-name>)
Working on task 3/7: <task description>
[...implementation happening...]
✓ Task complete
Working on task 4/7: <task description>
[...implementation happening...]
✓ Task complete
Output On Completion
## Implementation Complete
**Change:** <change-name>
**Schema:** <schema-name>
**Progress:** 7/7 tasks complete ✓
### Completed This Session
- [x] Task 1
- [x] Task 2
...
All tasks complete! Ready to archive this change.
Output On Pause (Issue Encountered)
## Implementation Paused
**Change:** <change-name>
**Schema:** <schema-name>
**Progress:** 4/7 tasks complete
### Issue Encountered
<description of the issue>
**Options:**
1. <option 1>
2. <option 2>
3. Other approach
What would you like to do?
Guardrails
- Keep going through tasks until done or blocked
- Always read context files before starting (from the apply instructions output)
- If task is ambiguous, pause and ask before implementing
- If implementation reveals issues, pause and suggest artifact updates
- Keep code changes minimal and scoped to each task
- Update task checkbox immediately after completing each task
- Pause on errors, blockers, or unclear requirements - don't guess
- Use contextFiles from CLI output, don't assume specific file names
- For Swarm: ALWAYS spawn ALL agents in ONE Task tool call
- For Swarm: NEVER poll status - wait for agents to return
- For Swarm: Shutdown swarm after completion:
npx @claude-flow/cli@latest swarm shutdown --graceful
Swarm Configuration Defaults
topology: hierarchical
maxAgents: 8
strategy: specialized
consensus: raft
memory: hybrid
Agent Type Mapping
| Task Type | Agent Type | Parallel |
|---|
| Implementation | coder | Yes (2-3 agents) |
| Tests | tester | Yes (2 agents) |
| Review | reviewer | Yes (1-2 agents) |
| Documentation | documentation | Yes (1 agent) |
| Architecture | architect | Sequential (1 agent) |
| Security | security | Sequential (1 agent) |
Fluid Workflow Integration
This skill supports the "actions on a change" model with swarm acceleration:
- Can be invoked anytime: Before all artifacts are done (if tasks exist), after partial implementation, interleaved with other actions
- Allows artifact updates: If implementation reveals design issues, suggest updating artifacts - not phase-locked, work fluidly
- Parallel by default: Independent tasks execute concurrently across agents
- Adaptive scaling: Agent count based on task complexity