nini-workspace-planning（妮妮工作空间规划）

Workspace Planning

Workspace-level project schedule management. Operates on planning/schedules/*.yaml files that track modules, milestones, and delivery phases.

Each schedule YAML is organized around functional modules (not tasks or tickets), bridging the gap between Yunxiao work items and OpenSpec code changes.

Prerequisites

Do NOT verify prerequisites on skill load. If a command fails due to a missing dependency, guide the user through setup step by step.

When to Use

• User asks about project progress, timeline, or delivery status
• User wants to check what's planned for a specific week
• User mentions milestones, deadlines, or "how much is left"
• User wants to update a module's status or mark something done
• User wants to connect an OpenSpec change to a schedule module
• User needs to create a new project schedule
• User wants to push schedule data to Yunxiao

Module Status State Machine

planned --> in_progress --> done (terminal)
   |
   +--> deferred --> planned / in_progress

Allowed: planned -> in_progress, in_progress -> done, planned -> deferred, deferred -> planned, deferred -> in_progress.

Forbidden: any transition out of done.

Module Types

For the complete YAML schema and field reference, read references/yaml-schema.md.

Script

Deterministic operations are handled by scripts/planning.py:

python3 <skill-dir>/scripts/planning.py review                      # Show progress
python3 <skill-dir>/scripts/planning.py update <id> --status done   # Update status
python3 <skill-dir>/scripts/planning.py link <id> --change <name>   # Link change
python3 <skill-dir>/scripts/planning.py week W3                     # Show week modules

All commands output JSON for the LLM to format. Use --file to specify a schedule YAML if multiple exist. Always point --file at the main schedule file (e.g. sylsmart.yaml), not the month files — the script resolves module_files references automatically.

Requires: pip install pyyaml

Split vs Inline Modules

Schedules support two layouts:

• Inline: modules: list directly in the main YAML (simple projects)
• Split: module_files: list of relative paths, each containing a modules: list (large projects)

When using split layout, all read commands (review, week) merge modules from all referenced files. Write commands (update, link) save back to the correct source file.

Commands

planning init <project-name>

Bootstrap a new schedule YAML for a project. This is interactive (handled by the LLM, not the script).

Steps:

1. Ask the user for basic project info:

- Project title (display name) - Timeline start and end dates - Team capacity (optional)

1. Ask about milestones (at least one required) — for each: id, title, date, type, deliverable
2. Ask about phases (optional) — or suggest a default monthly split based on timeline
3. Create planning/schedules/<project-name>.yaml with the provided structure and an empty modules: []
4. Suggest next step: "Add modules manually or describe your feature list and I'll help structure them"

planning review

Show overall schedule progress grouped by phase.

Steps:

1. Run python3 <skill-dir>/scripts/planning.py review (use --file if needed)
2. Format the JSON output for the user
3. Display by phase:

## sylsmart schedule (current: W3)

### month-1: Framework (2/6 done, 33%)
  V core-extraction         infrastructure  done
  V auth                    feature 14f     done
  * project-list            feature 12f     in_progress
  o project-overview        feature 10f     planned
  o common-dialogs          feature 18f     planned
  o core-regression         infrastructure  planned

Legend: V done, * in_progress, o planned, - deferred

1. After the module list, add a brief Risks & Bottlenecks section (2-4 bullets):

- Highlight modules with design: partial or pending - Flag weeks where backend capacity is overloaded (many ready_week targets in same week) - Note any milestone within 14 days with low completion rate - Call out frontend modules that depend on not-yet-ready backend APIs

Flags:

• --week <W> — Show modules relevant to that week. A module is "relevant" if ANY of these apply: (1) weeks contains that week, (2) backend.ready_week equals that week, (3) frontend.mock_from equals that week. Split output into Backend and Frontend sections with dependency status.
• --milestones — Show milestone progress with countdown warnings (highlight if <= 14 days away)

planning update <module-id> --status <status>

Update a module's status.

Step 1 — Validate with the script (does NOT write to files):

python3 <skill-dir>/scripts/planning.py update <module-id> --status <status>

The script validates the state machine transition and returns JSON including source_file (the YAML file containing the module). If invalid, it exits with an error.

Step 2 — Apply with the Edit tool: use the source_file from the JSON output to locate the module and change its status: field. This preserves YAML comments and formatting.

planning link <module-id> --change <change-name>

Associate an OpenSpec change with a module.

Step 1 — Validate with the script (does NOT write to files):

python3 <skill-dir>/scripts/planning.py link <module-id> --change <change-name>

The script verifies the change exists and returns JSON with the updated changes list, source_file, and whether an auto-transition from planned to in_progress should apply.

Step 2 — Apply with the Edit tool: add the change name to the module's changes: list (or create the field). If auto_transition is true, also update status: in_progress.

planning sync-yunxiao

Push unlinked modules to Yunxiao as work items.

Prerequisite: yunxiao skill must be installed and configured.

Steps:

1. Read YAML, find modules where yunxiao_id is null or missing
2. List modules to be created, wait for user confirmation
3. Use yunxiao skill to create a work item for each module
4. Write returned work item IDs back to yunxiao_id field in YAML
5. Report results; modules with existing yunxiao_id are skipped

Common Mistakes