Skip to content
Back to skills

Planning

ASecurity

Methodology for turning a clear task into an actionable, verifiable work plan before implementation: start from a `clarify` Task Brief (or an already-clear request), research the codebase, ask the user only when there is a real fork between implementation approaches, write 3-6 atomic steps with behavioral acceptance criteria, run a pre-submission checklist, and ask for plan approval only when the work is complex. Use when a task is multi-step, cross-cutting, or risky enough that a plan should...

  • 3 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added November 11, 2026
ai-agentsgorailstestingapisecurity

Works with

  • api

Security analysis

A100/100

Scanned November 11, 2026

npx -y skills add alkofu/ai-tpk --skill planning --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Planning?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Planning
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/alkofu-planning/badge)](https://www.skillsdirectory.com/skills/alkofu-planning)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: planning
description: >
  Methodology for turning a clear task into an actionable, verifiable work plan before implementation: start from a `clarify` Task Brief (or an already-clear request), research the codebase, ask the user only when there is a real fork between implementation approaches, write 3-6 atomic steps with behavioral acceptance criteria, run a pre-submission checklist, and ask for plan approval only when the work is complex. Use when a task is multi-step, cross-cutting, or risky enough that a plan should exist before coding — in a plain session (including plan mode), inside the `wayblade` delivery flow, or as the methodology preloaded into the Pathfinder agent.
---

# Planning

Use this skill when a task needs a plan before code: the change spans several files or systems, there are multiple viable approaches, or a wrong start would be expensive. For a trivial, unambiguous change, skip the plan and implement directly.

**Planning starts from a clear task.** Clarifying what the user wants is the `clarify` skill's job and happens first, in one batch. If you have neither a Task Brief nor a request that is already clear (one reading of the objective, bounded scope), run `clarify` before continuing here.

This skill is caller-agnostic. In a plain session or `/wayblade`, you talk to the user directly and keep the plan in the conversation (or plan mode) unless the user wants a file. The Pathfinder agent applies the same method inside a Dungeon Master delegation and adds DM-specific mechanics (where plans are saved, how option questions and approval are relayed).

**While planning, plan — do not implement.** Implementation starts only after the plan is agreed; then follow the `implementation-discipline` skill.

## 1. Research the codebase

Go deeper than the `clarify` scan: how similar problems are solved, which conventions and helpers to reuse, what else would be affected, and where the change could break something. Use Grep/Glob/Read directly, or delegate broad sweeps to an Explore agent.

**Never ask the user about codebase facts** — research them.

## 2. Treat the task as settled

Take the objective, scope, answers, and assumptions from the Task Brief (or the clear request) as given. Do not re-ask anything they cover, and do not re-run an interview or a scope-confirmation round: the user has already answered everything about intent.

If research reveals a gap about **intent** that the brief missed (for example, the code shows the change would also alter a user-visible behaviour nobody discussed), ask about it once, immediately, together with any option question from section 3 — never as a separate later round. Note in the plan that the brief missed it.

## 3. Ask only on a real fork

Ask the user during planning **only** when research shows more than one viable implementation approach with real trade-offs that the brief's answers do not settle. Ask once, as one question, with for each option: a name, a short summary, pros, cons, and reversibility (easy / moderate / hard, with a brief reason). End with your recommendation and why you reject the others.

When one approach is clearly better, or the trade-off is minor, decide yourself and record the decision and the rejected alternatives in the plan so they can appear in the PR. Do not ask for confirmation of scope; write the objective, key assumptions, affected areas, and out-of-scope items into the plan instead.

## 4. Write the plan

- **3-6 actionable steps** as a soft guide. Not 30 micro-steps; not "step 1: implement".
- **Atomic steps** — each step addresses exactly one testable concern. If a step's acceptance criterion needs "and" to be complete ("X is renamed *and* Y is updated"), split it. Atomicity wins over the 3-6 guide.
- **Do not split a single concern** across sub-steps (2a/2b/2c for one route's setup) — that is noise.
- **Verifiable acceptance** — every step ends with an acceptance criterion that shows the intent was achieved, not merely that a file exists.
- **Test-first annotation** — for steps with behavioral acceptance criteria ("given X, the system does Y"), mark `**test-first:** true` so implementation starts with a failing test (see `claude/references/implementation-standards.md`). Do not mark steps whose criteria are purely structural ("file exists", "config is valid YAML").
- **Classify complexity** and record it in the plan (see section 4a). Ask for approval of the plan only when it is complex.

### 4a. Complexity and approval

A plan is **complex** when any of these holds:

- it spans more than one area of the system (e.g. agents, installer, and docs), or roughly more than five files of non-mechanical change;
- it is breaking or hard to reverse: a public interface or config format change, a data or config migration, removing a feature, or a change to security or permission behaviour;
- a real-fork question was needed (section 3), or research overturned an assumption the brief relied on.

Otherwise it is **simple**.

- **Simple:** do not ask for approval. Proceed to implementation; the decisions and assumptions recorded in the plan go into the PR description.
- **Complex:** present the plan (objective, steps with acceptance criteria, recorded decisions) and ask for a single approve / change answer before implementation starts.
- The user can always override: "show me the plan" makes any task complex for approval purposes; "just do it" skips approval.

### Plan structure

```markdown
# Feature: {Feature Name}

## Context and Objectives

**Complexity:** {simple | complex} — {which criterion from section 4a applies, or "none"}

Background: {Current state and why this is needed}

Objectives:
- {Objective 1}
- {Objective 2}

## Decisions

- {Decision made during planning, the alternatives rejected, and why — or "None beyond the brief"}

## Guardrails

**Must Have:**
- {Required feature or constraint}

**Must NOT Have:**
- {Explicitly excluded feature or approach}

## Task Flow

### Step 1: {Component Name}
- **test-first:** true
<!-- Remove test-first line for steps with purely structural acceptance criteria -->
- [ ] {Specific actionable task}
- [ ] {Another specific task}
- **Acceptance:** {Clear success criteria}

### Step 2: {Next Component}
- [ ] {Specific actionable task}
- **Acceptance:** {Clear success criteria}

## Success Criteria

- {Measurable outcome}
- {Test that must pass}
```

Good step:

```markdown
### Step 2: Registration Endpoint
- [ ] Implement POST /api/register with email/password validation
- [ ] Hash passwords using bcrypt with cost factor 12
- [ ] Return session token on successful registration
- **Acceptance:** New users can register, passwords are hashed in DB
```

Bad step (too vague):

```markdown
### Step 2: Registration
- [ ] Implement registration
- **Acceptance:** Registration works
```

## 5. Pre-submission checklist

Before presenting the final plan, check each item and fix the plan if any fails:

1. **Per-target specificity** — instructions for each affected file or component are distinct where they differ meaningfully.
2. **File reference accuracy** — section names and line numbers were verified by reading the actual files.
3. **Distinct-case handling** — where targets have different structures (one has a section, another doesn't), they are handled in separate sub-steps.
4. **Rollback and recovery** — for steps that modify existing behavior, the prior state is documented so it can be restored (not applicable to additive-only changes).
5. **Behavioral acceptance criteria** — validation verifies the change achieves its intent, not just that files exist or greps match.
6. **Sequencing and dependencies** — each prerequisite is satisfied before it is needed.
7. **Completeness** — every part of the objective is covered with no unexplained gaps.
8. **Ambiguity test** — a careful implementer could not reasonably make a wrong judgment call from any instruction.
9. **Step atomicity** — each step addresses exactly one testable concern (see section 4).
10. **Complexity** — the `**Complexity:**` line names the section 4a criterion that applies (or "none"), and every decision made without asking is listed under Decisions.

## 6. Track open questions

Record anything unresolved — a dependency revealed during research, an ambiguity the brief left open, an assumption needing validation, a decision the user deferred — with its status (Open / Resolved / Blocked), why it matters, and the candidate options. In a plain session, list them with the plan; callers that persist plans (e.g. Pathfinder) keep them in a file next to the plan.

## Consensus mode (high-stakes decisions)

When the user asks for consensus or deliberate treatment (e.g. `--consensus`), or the decision is high-risk and hard to reverse, add:

- **Principles** — 3-5 guidelines for the work
- **Decision drivers** — the top 3 factors influencing the approach
- **Viable options** — 2-4 alternatives with pros, cons, and reversibility
- **Comparison matrix** — options against the decision drivers
- **ADR fields** — Status, Context, Decision, Consequences

For high-risk work, also add:

- **Pre-mortem** — what could go wrong, and the mitigation for each
- **Expanded testing plan** — unit, integration, e2e, and observability coverage

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

View all in ai-agents →

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.