القائمة
Analyze in-scope requirements, produce a taskable effort model, and make overcommit visible before the plan is approved.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Run live continuous co-review or replay persisted reviewer evidence for an iteration.
Run live continuous co-review or replay persisted reviewer evidence for an iteration.
Run live continuous co-review or replay persisted reviewer evidence for an iteration.
Perform a Specrew human-verdict boundary stop on the Claude host. Renders the FULL Rule 46 six-section human re-entry packet AND the verdict options as one Markdown message, with the AskUserQuestion picker disabled so the packet cannot collapse into the picker's short header/option fields. Invoke at EVERY human-judgment boundary stop (specify, clarify, plan, tasks, before-implement, implement, review, retro, feature-closeout, lifecycle-end). Triggers: boundary stop, verdict, approve / redirect / send back, why I stopped, human re-entry packet, gate stop.
{what this skill teaches agents}
Run Specrew's per-lens design workshop and collaborative design-analysis. Use whenever you work the design lenses for a feature: at specify/intake (the lens workshop) and at the design-analysis stop (co-design the architecture), and RE-INVOKE at the start of EACH new lens (architecture, data, ui-ux, security, integration, devops, requirements/NFR, observability, component). Triggers: design, design lens, lens workshop, design-analysis, architecture, trade-offs, co-design, explore options, decompose, or moving from one lens to the next. Tells you to facilitate each lens as a discussion, surface diagrams the human can actually SEE (console ASCII inline; mermaid/html to a file with a clickable file:/// link), co-design components/responsibilities/flows WITH the human instead of handing over finished options, capture the agreements, and which per-lens md to load.
| name | specrew-capacity-planning |
| description | Analyze in-scope requirements, produce a taskable effort model, and make overcommit visible before the plan is approved. |
| domain | lifecycle-planning |
| confidence | high |
| source | Specrew governance pillar — planning ceremony helper |
Type: Planning Skill
Schema: v1
Status: Active planning method
Analyze in-scope requirements, produce a taskable effort model, and make overcommit visible before the plan is approved.
| Input | Type | Required | Description |
|---|---|---|---|
| spec_requirements | array | Yes | List of requirements to plan for this iteration |
| iteration_config | object | Yes | Config from .specrew/iteration-config.yml |
| iteration_config.capacity_per_iteration | number | Yes | Max effort units for this iteration |
| iteration_config.effort_unit | string | Yes | Unit of effort measurement |
| iteration_config.overcommit_threshold | float | Yes | Ratio for overcommit warning |
| role_assignments | array | Yes | Available roles from .specrew/role-assignments.yml |
| historical_velocity | number? | No | Average effort per iteration for calibration |
| Output | Type | Description |
|---|---|---|
| tasks[] | array | Decomposed task list |
| tasks[].id | string | Task identifier |
| tasks[].title | string | Task description |
| tasks[].requirement_ref | string | Requirement this task implements |
| tasks[].effort | number | Estimated effort in the configured unit |
| tasks[].owner | string | Assigned role name |
| total_effort | number | Sum of all task efforts |
| capacity_status | enum: ok, warn, error | Capacity check result |
| capacity_message | string? | Warning or error message if not ok, including explicit defer guidance |
| suggested_deferrals[] | array? | Lowest-priority tasks/requirements to defer if overcommitted |
| phase_baseline[] | array | Planned effort by phase for retro comparison |
None. This skill informs plan.md; it does not approve the plan.
iteration_config is missing: use defaults (capacity=20, unit=story_points)role_assignments are missing: assign tasks to unassignedcapacity_status: okThe output is only good enough for planning when it makes deferral choices, requirement-priority impact, and phase-level variance explicit.