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Plan implementation

Skill tacticaldoll/fornax/skills/plan-implementation

Use when an agent needs to turn a goal into an ordered, verifiable implementation plan before coding; slices the work into the smallest independently verifiable increments, sequences them by dependency and risk, and names each step's acceptance check rather than writing code, designing component structure, or planning a behavior-preserving split.From its SKILL.md

Install
npx -y skills add tacticaldoll/fornax --skill plan-implementation

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SKILL.md

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Plan the implementation

Use this skill to break a goal into an implementation plan — add the work in small, controlled increments toward the outcome, each one producing an observable signal that it landed. The output is an ordered task plan: the increments, their dependencies and risk, and the acceptance check that tells you each is done.

Governing intuition: each increment must produce a signal you can see flip. A task whose "done" you cannot observe is not verifiable — reslice it until it has an acceptance check. Prefer the smallest slice that proves something real and leaves the system working over a big step you cannot verify midway; and order by what unblocks or de-risks the rest, not by what is easy.

Input: the goal to plan toward — a feature, fix, or change — plus its hard constraints; if none is given, ask what outcome the plan should reach.

Boundary: plans only — writes no code, scaffolds nothing, runs no build; produces the plan an implementer executes.

Workflow

Phase 0: Frame the goal and constraints

  • State the goal as an outcome — what will be true when it is done — not as a task list.
  • Capture hard constraints: behaviour that must not break, interfaces to honour, deadlines, and the tech the team already owns.
  • Check the upstream boundary: unfamiliar code the plan touches → map-codebase first; an unsettled component structure → design-boundaries first; a behaviour-preserving decomposition → plan-split; a data migration or database schema change → plan-migration, whose phased backward-compatible model this skill does not carry.

Phase 1: Slice into verifiable increments

Break the goal into increments, each one:

  • Independently verifiable — produces an observable signal (a test, a check, a runnable behaviour), not just "code written".
  • The smallest slice that delivers a real signal — thin, not trivial.
  • Leaving the system working — no half-broken state committed between increments.

Prefer thin vertical slices (a little of each layer, end to end) over horizontal layers; each vertical slice proves something works.

Phase 2: Sequence by dependency, then risk

  • Order so every task's prerequisites land first — the sequence must be dependency-correct.
  • Among tasks free to reorder, pull the riskiest or most uncertain and the most unblocking work earlier: surface unknowns while there is time to react, and clear the widest downstream first. Do not front-load the easy work.
  • Note interlocks — tasks that must land together — and any deliberately deferred.

Phase 3: Define each step's acceptance check

For every task, name how you will know it is done: the test to write and pass, the behaviour to observe, the check that flips green. A task without an acceptance check is not a task — it is a wish; reslice it until it has one.

Phase 4: Adversarially verify the plan

Attack the plan before finalizing:

  • Missing task — is there a gap between increments (something assumed but never built)?
  • Unverifiable step — any task whose "done" cannot be observed? Reslice it.
  • Hidden coupling — do two "independent" tasks actually depend on each other?
  • Broken in the middle — does any ordering leave the system unshippable between steps?

Phase 5: Produce the implementation plan

## Implementation Plan — [goal]

**Goal (outcome)**: [what is true when done]
**Constraints / non-goals**: [behaviour that must not break; out of scope; no design change here]

### Ordered tasks
| # | Task (increment) | Depends on | Risk | Acceptance check |
|---|---|---|---|---|
| 1 | thin vertical slice | — | low / med / high | the test or behaviour that proves it |

### Interlocks
[tasks that must land together, and why]

### Open risks / not planned
[unknowns to resolve first; work deliberately deferred or out of scope]

Rules

  • Plan only. Do not write code, scaffold, or run builds — produce the plan; an implementer executes it.
  • Every task is independently verifiable. Name its acceptance check; a step whose "done" cannot be observed is not a task — reslice it.
  • Smallest useful increments. Prefer thin vertical slices that each prove something and leave the system working over big steps you cannot verify midway.
  • Order by dependency, then by risk and unblocking. Surface the riskiest unknowns early; do not front-load the easy work.
  • Stay in lane; hand off at the boundary. To understand unfamiliar code the plan touches, point to map-codebase. To design the component structure the plan builds toward, point to design-boundaries. For a behaviour-preserving split of existing code, point to plan-split. To review the result once built, point to static-review. Name the handoff rather than half-doing the other skill's job.

What ships with it: 2 files

3.9 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most plan spec skills give in ~1.1k tokens

Counted across 1,099 of the 1,860 authors here whose files we hold, read 2026-08-07

  • Ask one question at a timein 51 of 1099
  • Break plans into vertical slicesin 29 of 1099, across 11 files
  • Publish issues in dependency orderin 27 of 1099, across 9 files
  • Iterate until user approves the breakdownin 25 of 1099, across 7 files
  • Explore the repository to understand the codebase statein 24 of 1099, across 7 files
  • Use domain glossary vocabularyin 23 of 1099, across 5 files
  • Apply correct triage labels to published issuesin 23 of 1099, across 5 files
  • Prefer AFK slices over HITLin 22 of 1099, across 7 files
  • Write a specification before writing any codein 22 of 1099, across 14 files
  • Write failing tests before implementation codein 22 of 1099, across 20 files
  • Ask clarifying questions until requirements are concretein 21 of 1099, across 13 files
  • Respect existing architecture decision recordsin 20 of 1099, across 5 files

Said here and by no other author read

  • Break the goal into verifiable increments
  • Ensure each increment produces an observable signal
  • Capture hard constraints and interfaces to honour
  • Pull the riskiest and unblocking work earlier
  • Attack the plan for missing or unverifiable steps
  • Prefer thin vertical slices over horizontal layers

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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