horizon-track
Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection
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소스 지침 · 읽기 전용 미리보기- name
- horizon-track
- description
- Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection
- argument-hint
- <objective-name>
- allowed-tools
- mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__task_list mcp__plugin_ruflo-core_ruflo__task_summary mcp__plugin_ruflo-core_ruflo__progress_check mcp__plugin_ruflo-core_ruflo__progress_summary mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store mcp__plugin_ruflo-core_ruflo__session_save mcp__plugin_ruflo-core_ruflo__session_restore Bash Read Write
# Horizon Track
Track long-running objectives that span multiple sessions, days, or weeks.
## When to use
When an objective is too large for a single session — multi-week features, research programs, migration projects, or any work that requires persistent progress tracking across conversations.
## Steps
1. **Initialize horizon** — define the objective, target date, and 3-7 milestones
2. **Store horizon** — call `mcp__plugin_ruflo-core_ruflo__memory_store` with namespace `horizons` and key `horizon-[name]`:
```json
{
"objective": "...",
"created": "2026-04-28",
"targetDate": "2026-05-15",
"milestones": [
{"id": "m1", "name": "...", "criteria": "...", "status": "pending"},
{"id": "m2", "name": "...", "criteria": "...", "status": "pending"}
],
"currentMilestone": "m1",
"sessions": []
}
```
3. **Session check-in** — at the start of each session:
- Recall horizon: `mcp__plugin_ruflo-core_ruflo__memory_retrieve` key `horizon-[name]` namespace `horizons`
- Review milestone status
- Assess drift (are we still on track?)
- Plan this session's contribution
4. **Work and record** — as work progresses:
- Update milestone status
- Record session summary
- Store intermediate findings
5. **Session check-out** — at the end of each session:
- Update horizon state in memory
- Record what was accomplished
- Note blockers or scope changes
- Estimate remaining effort
6. **Milestone completion** — when a milestone is done:
- Verify completion criteria met
- Store learned patterns via `mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store`
- Advance to next milestone
7. **Drift detection** — flag when:
- Progress rate suggests target date will be missed
- Scope has grown beyond original definition
- Dependencies have changed
- Approach needs fundamental rethinking
## Memory namespaces
- `horizons` — active horizon definitions and state
- `horizon-sessions` — per-session summaries keyed by `[horizon]-[date]`
- `horizon-learnings` — patterns and insights discovered during the horizon
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