/pdca-batch
Manage multiple PDCA features as independent parallel cycles (no shared scope/budget). For multiple features that share scope, budget, or timeline as one cohesive initiative, use /sprint (v2.1.13) — sprint groups features into a single 8-phase container, while pdca-batch keeps
$ npx -y skills add popup-studio-ai/bkit-claude-code --skill pdca-batch --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/pdca-batch
Context preview
The summary Claude sees to decide when to auto-load this skill.
Manage multiple PDCA features as independent parallel cycles (no shared scope/budget). For multiple features that share scope, budget, or timeline as one cohesive initiative, use /sprint (v2.1.13) — sprint groups features into a single 8-phase container, while pdca-batch keeps
SKILL.md
pdca-batch.SKILL.mdname: pdca-batch
classification: workflow
classification-reason: Batch PDCA management persists regardless of model advancement
deprecation-risk: none
effort: high
description: |
Manage multiple PDCA features as independent parallel cycles (no shared scope/budget). For multiple features that share scope, budget, or timeline as one cohesive initiative, use /sprint (v2.1.13) — sprint groups features into a single 8-phase container, while pdca-batch keeps them independent.
Triggers: pdca-batch, batch, multiple features
argument-hint: "[status|plan|manage]"
user-invocable: true
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
- Task
- TaskCreate
- TaskList
- AskUserQuestion
imports: []
next-skill: null
pdca-phase: null
task-template: "[Batch] {action}"PDCA Batch Skill
> User-invocable skill for managing multiple PDCA features and batch operations.
Arguments
| Argument | Description | Example | |----------|-------------|---------| | (none) | Show all active features (same as `status`) | `/pdca-batch` | | `status` | Show all active features and their PDCA status | `/pdca-batch status` | | `plan <f1> <f2> ...` | Plan multiple features in sequence | `/pdca-batch plan auth search api` | | `manage` | Interactive dashboard for parallel features | `/pdca-batch manage` |
Action Details
status (Default)
Show all active PDCA features and their current status.
1. Read `.bkit/state/pdca-status.json` 2. Filter to active features (exclude archived/completed unless `--all` flag) 3. For each feature, display: phase, matchRate, iterationCount, last updated 4. Show summary: total active, total completed, total archived 5. Warn if approaching max parallel limit (3)
**Output Format**:
--- PDCA Feature Dashboard ------------------------
Active Features: 2/3 (max)
# Feature Phase Match% Iter Last Updated
1 user-auth check 85% 2/5 10 min ago
2 search-api design - 0/5 2 hours ago
- (1 slot available)
Completed (recent):
3 payment-flow archived 96% 3/5 2 days ago
---------------------------------------------------
Totals: 2 active | 1 completed | 0 stale
Tip: Use /pdca-batch manage for interactive control
plan <feature1> <feature2> ...
Plan multiple features in a batch sequence.
1. Parse feature names from arguments (space-separated) 2. Validate: max 5 features per batch plan 3. Check current active feature count (max 3 concurrent) 4. For features exceeding the parallel limit, queue them 5. Display batch plan summary and ask for confirmation via AskUserQuestion 6. On confirmation, for each feature sequentially: a. Initialize feature in `pdca-status.json` (state: idle) b. Create Plan document using plan template c. Record batch origin: `batchId` in feature metadata 7. Display batch plan results
**Batch Plan Output**:
--- Batch Plan Results ----------------------------
Batch ID: batch-1710842700000
Features planned: 3
Feature Status Plan Document
auth OK docs/01-plan/features/auth.plan.md
search OK docs/01-plan/features/search.plan.md
api-v2 QUEUED (waiting for slot, 2/3 active)
---------------------------------------------------
Next: Run /pdca design <feature> for each planned feature
**Constraints**:
- Maximum 5 features per batch plan command
- Maximum 3 features active simultaneously
- Features beyond the limit are queued with `phase: queued`
- Queued features auto-activate when a slot becomes available
manage
Interactive dashboard for managing parallel features.
1. Read all active features from `pdca-status.json` 2. Display interactive-style management panel 3. Show available actions per feature 4. Accept user input for next action via AskUserQuestion
**Output Format**:
--- Feature Management Dashboard ------------------
Active Features: 2/3
[1] user-auth (check, 85%, iter 2/5)
Actions: [a]nalyze [i]terate [r]eport [p]ause
[2] search-api (design, -, iter 0/5)
Actions: [d]esign-review [n]ext [p]ause
[Q] user-input (queued, waiting for slot)
Actions: [c]ancel [p]rioritize
---------------------------------------------------
Global Actions:
[s] Switch active feature
[n] New feature (if slot available)
[r] Refresh dashboard
[x] Exit dashboard
---------------------------------------------------
Select feature number or action:**Management Actions**:
| Action | Description | |--------|-------------| | Switch feature | Change which feature is "focused" for subsequent /pdca commands | | Prioritize queued | Move a queued feature to next available slot | | Pause feature | Temporarily halt a feature's PDCA progression | | Cancel queued | Remove a feature from the queue | | New feature | Start a new PDCA cycle if slot available |
Parallel Feature Rules
1. **Maximum 3 concurrent features**: Prevents context overload and resource contention 2. **Independent state**: Each feature has its own phase, matchRate, and iteration count 3. **Shared guardrails**: Automation level and trust score are global (not per-feature) 4. **Queue system**: Features beyond limit are queued and auto-activated on slot availability 5. **Isolation**: Features do NOT share checkpoints or audit entries
State File Schema
Features in `pdca-status.json` with batch support:
{
"user-auth": {
"phase": "check",
"matchRate": 85,
"iterationCount": 2,
"batchId": "batch-1710842700000",
"queuePosition": null,
"lastUpdated": "2026-03-19T10:30:00.000Z"
},
"search-api": {
"phase": "design",
"matchRate": 0,
"iterationCount": 0,
"batchId": "batch-1710842700000",
"queuePosition": null,
"lastUpdated": "2026-03-19T08:30:00.000Z"
},
"api-v2": {
"phase": "queued",
"batchId": "batch-1710842700000",
"queuePosition": 1,
"lastUpdated": "2026-03-19T10:30:00.000Z"
}
}Module Dependencies
| Module | Functio
Read more
name: pdca-batch
classification: workflow
classification-reason: Batch PDCA management persists regardless of model advancement
deprecation-risk: none
effort: high
description: |
Manage multiple PDCA features as independent parallel cycles (no shared scope/budget). For multiple features that share scope, budget, or timeline as one cohesive initiative, use /sprint (v2.1.13) — sprint groups features into a single 8-phase container, while pdca-batch keeps them independent.
Triggers: pdca-batch, batch, multiple features
argument-hint: "[status|plan|manage]"
user-invocable: true
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
- Task
- TaskCreate
- TaskList
- AskUserQuestion
imports: []
next-skill: null
pdca-phase: null
task-template: "[Batch] {action}"PDCA Batch Skill
> User-invocable skill for managing multiple PDCA features and batch operations.
Arguments
| Argument | Description | Example | |----------|-------------|---------| | (none) | Show all active features (same as `status`) | `/pdca-batch` | | `status` | Show all active features and their PDCA status | `/pdca-batch status` | | `plan <f1> <f2> ...` | Plan multiple features in sequence | `/pdca-batch plan auth search api` | | `manage` | Interactive dashboard for parallel features | `/pdca-batch manage` |
Action Details
status (Default)
Show all active PDCA features and their current status.
1. Read `.bkit/state/pdca-status.json` 2. Filter to active features (exclude archived/completed unless `--all` flag) 3. For each feature, display: phase, matchRate, iterationCount, last updated 4. Show summary: total active, total completed, total archived 5. Warn if approaching max parallel limit (3)
**Output Format**:
--- PDCA Feature Dashboard ------------------------ Active Features: 2/3 (max) # Feature Phase Match% Iter Last Updated 1 user-auth check 85% 2/5 10 min ago 2 search-api design - 0/5 2 hours ago - (1 slot available) Completed (recent): 3 payment-flow archived 96% 3/5 2 days ago --------------------------------------------------- Totals: 2 active | 1 completed | 0 stale Tip: Use /pdca-batch manage for interactive control
plan <feature1> <feature2> ...
Plan multiple features in a batch sequence.
1. Parse feature names from arguments (space-separated) 2. Validate: max 5 features per batch plan 3. Check current active feature count (max 3 concurrent) 4. For features exceeding the parallel limit, queue them 5. Display batch plan summary and ask for confirmation via AskUserQuestion 6. On confirmation, for each feature sequentially: a. Initialize feature in `pdca-status.json` (state: idle) b. Create Plan document using plan template c. Record batch origin: `batchId` in feature metadata 7. Display batch plan results
**Batch Plan Output**:
--- Batch Plan Results ---------------------------- Batch ID: batch-1710842700000 Features planned: 3 Feature Status Plan Document auth OK docs/01-plan/features/auth.plan.md search OK docs/01-plan/features/search.plan.md api-v2 QUEUED (waiting for slot, 2/3 active) --------------------------------------------------- Next: Run /pdca design <feature> for each planned feature
**Constraints**:
- Maximum 5 features per batch plan command
- Maximum 3 features active simultaneously
- Features beyond the limit are queued with `phase: queued`
- Queued features auto-activate when a slot becomes available
manage
Interactive dashboard for managing parallel features.
1. Read all active features from `pdca-status.json` 2. Display interactive-style management panel 3. Show available actions per feature 4. Accept user input for next action via AskUserQuestion
**Output Format**:
--- Feature Management Dashboard ------------------
Active Features: 2/3
[1] user-auth (check, 85%, iter 2/5)
Actions: [a]nalyze [i]terate [r]eport [p]ause
[2] search-api (design, -, iter 0/5)
Actions: [d]esign-review [n]ext [p]ause
[Q] user-input (queued, waiting for slot)
Actions: [c]ancel [p]rioritize
---------------------------------------------------
Global Actions:
[s] Switch active feature
[n] New feature (if slot available)
[r] Refresh dashboard
[x] Exit dashboard
---------------------------------------------------
Select feature number or action:**Management Actions**:
| Action | Description | |--------|-------------| | Switch feature | Change which feature is "focused" for subsequent /pdca commands | | Prioritize queued | Move a queued feature to next available slot | | Pause feature | Temporarily halt a feature's PDCA progression | | Cancel queued | Remove a feature from the queue | | New feature | Start a new PDCA cycle if slot available |
Parallel Feature Rules
1. **Maximum 3 concurrent features**: Prevents context overload and resource contention 2. **Independent state**: Each feature has its own phase, matchRate, and iteration count 3. **Shared guardrails**: Automation level and trust score are global (not per-feature) 4. **Queue system**: Features beyond limit are queued and auto-activated on slot availability 5. **Isolation**: Features do NOT share checkpoints or audit entries
State File Schema
Features in `pdca-status.json` with batch support:
{
"user-auth": {
"phase": "check",
"matchRate": 85,
"iterationCount": 2,
"batchId": "batch-1710842700000",
"queuePosition": null,
"lastUpdated": "2026-03-19T10:30:00.000Z"
},
"search-api": {
"phase": "design",
"matchRate": 0,
"iterationCount": 0,
"batchId": "batch-1710842700000",
"queuePosition": null,
"lastUpdated": "2026-03-19T08:30:00.000Z"
},
"api-v2": {
"phase": "queued",
"batchId": "batch-1710842700000",
"queuePosition": 1,
"lastUpdated": "2026-03-19T10:30:00.000Z"
}
}Module Dependencies
| Module | Functio
A Claude Code plugin that verifies AI-generated code against its own design specs. Three commands. Anyone — even someone vibe-coding for the first time — can ship robust, production-quality software.
Repo: popup-studio-ai/bkit-claude-code
Other skills on bkit.
- /audit
View audit logs, decision traces, and session history for AI transparency. ACTION_TYPES (19 entries) include PDCA events (phase_transition, gate_passed/failed, agent_spawned/completed/failed, rollback_executed, destructive_blocked) and Sprint events (sprint_paused,
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Open skill - /bkend-cookbook
bkend.ai project tutorials (todo to SaaS) and common error troubleshooting. Triggers: bkend tutorial, bkend cookbook, bkend troubleshooting
Open skill - /bkend-data
bkend.ai database — CRUD, column types, filtering, sorting, relations, indexing. Triggers: bkend table, bkend CRUD, bkend column, bkend relation, bkend data
Open skill - /bkend-quickstart
bkend.ai onboarding — MCP setup, resource hierarchy, tenant/user model, first project. Triggers: bkend quickstart, bkend onboarding, bkend setup, bkend MCP
Open skill - /bkend-storage
bkend.ai file storage — upload (presigned URL), download (CDN), visibility levels, buckets. Triggers: bkend file, bkend upload, bkend download, bkend storage, bkend presigned URL
Open skill

