Add a reusable implementation-planning skill for turning approved requirements or specifications into executable, dependency-aware delivery plans. Covers work breakdown into vertical slices, dependency mapping with critical-path analysis, ownership assignment, sequencing and parallelism, staged rollout strategy with rollback paths, and verification traceability against the original requirement. Includes: - SKILL.md with valid frontmatter, entry gate for prerequisite approval, progressive-disclosure file map, and handoff table to specialist skills - README.md with all five required human-facing sections - references/discovery-brief.md comparing existing planning material and defining ownership boundaries - templates/ for implementation plan, dependency record, and risk/decision/ verification sections - evals/evals.json with six output-quality cases covering ambiguous requirements, cross-repository dependencies, data migration, risky rollout, unapproved prerequisite rejection, and multi-team ownership conflict - Catalog and routing updates (README, skill-triggers, generated catalogs) Closes #186 Co-authored-by: username <username> Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
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name, description, license, compatibility, metadata
| name | description | license | compatibility | metadata | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| implementation-planning | Plan the implementation of an approved requirement or specification: produce an executable, dependency-aware delivery plan covering work breakdown, dependency mapping, critical path, ownership, parallelism and sequencing, rollout strategy, rollback and recovery paths, and verification against the original requirement. Supports cross-team, cross-repository, migration, and staged-rollout scenarios. Do not use for pre-approval discovery or needs-finding, authoring a specification from scratch, coding or implementation, the neckbeard issue-to-PR delivery flow itself, or any work whose prerequisite decision has not been approved — planning unapproved work is an explicit stop condition. | MIT | Platform-agnostic methodology. Templates use markdown. No runtime dependency. |
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Implementation Planning
Turn an approved requirement or specification into an executable delivery plan. This skill is a planning discipline — it produces a plan, not code, not a spec, and not a lifecycle orchestration.
When to load this skill
Load when the input is an approved requirement, specification, or decision and the task is to produce a concrete delivery plan that accounts for dependencies, sequencing, risk, and verification.
| Trigger | Example |
|---|---|
| An approved SPEC.md or product brief needs a delivery plan | "Plan the implementation for the payments checkout spec" |
| A cross-team or multi-repo feature needs work coordination | "Plan the rollout for the identity-migration change across three services" |
| A data migration needs a staged execution plan | "Plan the schema migration with rollback stages" |
| A risky or high-stakes change needs a rollout strategy | "Plan the staged rollout for the auth-provider replacement" |
| Multiple workstreams need dependency mapping and critical-path analysis | "Map dependencies and critical path for the platform upgrade" |
When not to use
- Pre-approval discovery or needs-finding — the input is not yet an approved requirement. Route to product-discovery.
- Authoring a specification from scratch — no approved spec exists yet. Route to spec-driven-development.
- Coding, implementation, or architecture design — the plan is done, now execute. Route to backend-engineering, frontend-engineering, or software-architecture-analysis.
- The neckbeard issue-to-PR delivery flow — this skill plans work, it does not execute the neckbeard lifecycle gates, delivery-packet sequencing, or phase orchestration. Delivery execution is a separate concern.
- The prerequisite decision is not approved — if the requirement or specification has not been approved, stop. Planning unapproved work is an explicit stop condition. Record the missing approval and escalate; do not produce a plan.
Entry gate: prerequisite approval
Before any planning work begins, verify that the input requirement or specification has been approved by an authorized decision-maker. An approved input is one that has passed a review gate (SDD spec review, product brief approval, architecture decision record accepted, or equivalent).
If the input is not approved:
- Stop. Do not produce a draft plan, partial work breakdown, or "assume-approved" artifact.
- State the missing approval explicitly: what decision is pending and who (role or name) must approve it.
- Route to the appropriate upstream skill:
- No spec exists → spec-driven-development
- Requirements are unvalidated → product-discovery
- Architecture decision is pending → adr-authoring
This gate exists because a plan built on an unapproved foundation wastes every downstream team's time and creates false certainty.
Core workflow
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Ingest the approved input. Read the approved requirement, specification, or decision record. Capture the source, approval date, approver, and any explicit constraints or non-goals.
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Decompose into work. Break the approved scope into vertical slices or workstreams that deliver independent value. Prefer vertical slices (end-to-end capability) over horizontal layers (database then API then UI). Each slice must have a clear completion criterion.
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Map dependencies. Identify every dependency: upstream inputs, downstream consumers, shared services, data stores, platform capabilities, team availability, and external vendors or partner teams. Distinguish hard dependencies (blockers) from soft dependencies (preferences). Record them in the dependency record.
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Identify the critical path. Trace the longest chain of dependent work that determines the earliest possible completion. Flag any dependency that, if delayed, shifts the critical path.
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Assign ownership. Every workstream and every dependency needs an owner. Ownership means accountability for completion, not necessarily doing the work personally. Record owners by name or role.
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Sequence and parallelize. Order work to respect dependencies and maximize parallelism. Identify which slices can run concurrently, which must be sequential, and where parallel tracks must synchronize.
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Design the rollout strategy. Define how the change reaches production: big-bang, staged (by customer, region, percentage), canary, feature-flagged, or a combination. Define the rollout stages, gates, and duration of each stage.
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Design rollback and recovery. For every rollout stage, define the rollback path: what triggers a rollback, how to execute it, how long it takes, and what state is left behind. Include data rollback where applicable.
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Verify against the original requirement. Trace every workstream back to the approved input. Confirm nothing is missed and nothing extra is included. Record any deliberate scope decisions.
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Identify unresolved decisions and risks. List every decision that could not be resolved during planning and every residual risk. Assign each an owner and a resolution deadline.
Outputs
An implementation plan includes these sections. Templates are in templates/.
| Output | Template | Purpose |
|---|---|---|
| Work breakdown | templates/implementation-plan-template.md | Vertical slices, workstreams, completion criteria, ownership |
| Dependency and handoff record | templates/dependency-record.md | Dependency map, critical path, handoff contracts between teams |
| Risk, decision, verification record | templates/risk-decision-verification.md | Risks, unresolved decisions, assumptions, verification checklist |
Cross-team and cross-repository planning
This skill does not assume a single repository or team. When the approved requirement spans multiple repositories, teams, or organizations:
- Treat each repository or team boundary as a dependency interface — define the contract (API, schema, event, or handoff artifact) and its owner.
- Plan integration checkpoints where cross-team work is verified together, not only at the end.
- Explicitly name the coordination mechanism: shared calendar, sync meeting, Slack channel, or status dashboard.
- For migrations, include the cutover strategy (parallel run, big-bang switch, phased migration) and the backfill/reconciliation plan.
Staged rollout and migration planning
When the change carries material risk, the plan must include a staged rollout strategy. See references/discovery-brief.md for how this skill's rollout planning relates to release-engineering's pipeline design and site-reliability-engineering's SLO-based gradual rollout.
At minimum, a staged rollout plan defines:
- Stages: how many stages, what each stage gates on, and how long each runs.
- Observability: what metrics, logs, or signals confirm each stage is healthy.
- Rollback trigger: what specific condition triggers a rollback at each stage.
- Recovery path: how to roll back data, configuration, and traffic.
For data migrations, additionally include:
- Dual-write or backfill strategy for the transition period.
- Schema compatibility (forward and backward) during migration.
- Cutover and reconciliation before removing old paths.
Handoff to specialist skills
This skill produces a plan. Specialist skills execute the plan. The handoff from planning to execution is a deliberate boundary — do not let planning bleed into implementation.
| When the plan covers... | Hand off to |
|---|---|
| Specification authoring or formal phase gates | spec-driven-development |
| Discovery of unvalidated requirements | product-discovery |
| QA strategy, test planning, or verification design | qa-methodology |
| Release pipeline, promotion gates, or canary mechanics | release-engineering |
| Internal developer platform or CI/CD infrastructure | platform-engineering |
| Security requirements, threat modeling, or secure design | secure-software-engineering |
| Reliability targets, SLOs, incident response, or operational readiness | site-reliability-engineering |
| Architecture decisions that need formal ADRs | adr-authoring |
| API contract design or evolution | api-design-and-evolution |
| Data pipeline, schema, or storage design | data-engineering |
When a specialist skill listed above already owns a section of the plan (e.g., rollout mechanics are owned by release-engineering), this skill cites the specialist's output rather than re-deriving it. The plan names the specialist artifact and its owner; it does not duplicate the specialist's method.
File map
| Path | Load when |
|---|---|
| references/discovery-brief.md | Understanding what this skill owns vs. hands off to adjacent skills |
| templates/implementation-plan-template.md | Producing a full implementation plan |
| templates/dependency-record.md | Mapping dependencies, critical path, and handoff contracts |
| templates/risk-decision-verification.md | Recording risks, unresolved decisions, and verification traceability |