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Planning Agent Skill

>- shared data-table schema/migration across tasks, or the user explicitly asked to review a plan first. Load create-tasks via load_tool before calling it (search "create tasks" if not visible). Do NOT use for new one-off workflows, single-workflow edits, verification-only requests, or standalone data-table ops — use workflow-builder or data-table-manager instead.

2.5k tokens
context cost
SKILL.md, read when the skill is used
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
199 283
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/n8n-io/n8n --skill planning

The instruction itself

9 sections, as written by the author

Planning

Use this skill to design a dependency-aware task graph in the orchestrator and

submit it with create-tasks. Do not spawn another agent and do not use

incremental plan item tools.

Before calling create-tasks, load it via load_tool (search "create tasks" if

it is not visible).

When NOT to use this skill

Stop and use workflow-builder + build-workflow instead when the request is:

  • A new or one-off single workflow, even if it sounds large or unfamiliar
  • An edit to one existing workflow (nodes, expressions, credentials, schedule, Code)
  • Verification, setup, or credential collection for a workflow you just built
  • A workflow-local data table whose schema ships with that same workflow
  • Standalone data-table list/schema/query/create/mutation work

Do not call create-tasks just to get approval, verification, or a checklist for

a single workflow. Workflow verification is automatic from structured build

outcomes after build-workflow.

When to use this skill

Planning is only for work that needs coordination: multiple workflows,

dependencies between workflows, shared data-table schema or migration work across

tasks, multiple durable artifacts, broad best-practice research across many

sources, genuinely ambiguous business-process architecture that cannot be

resolved with one build-workflow call, or an explicit user request to review a

plan first.

If shared data tables are involved, load data-table-manager before this skill

and carry the relevant table guidance into workflow task specs. Clear

single-workflow builds and existing-workflow edits use workflow-builder with

build-workflow directly. Standalone data-table work uses data-table-manager

with direct data-tables and parse-file calls.

Knowledge Base

Consult the knowledge base before planning. Read the relevant .md guides

and templates for each technique the request involves (knowledge-base/index.json,

knowledge-base/best-practices/index.json, and linked files). Use

workspace_execute_command with rg or find under knowledge-base/templates/

to locate matching SDK examples — never load templates/index.json wholesale.

Skip only for trivial mechanical edits you have already reviewed in this thread.

Method

  • Decide whether the request is plan-worthy by coordination need, not by

whether a workflow is new.

  • Discover what materially affects the plan with normal tools:

nodes(action="suggested"), credentials(action="list"),

data-tables(action="list"), parse-file, workflows, and research

when relevant.

  • Prefer reasonable assumptions over questions. Ask the user only when the

answer would materially change the plan and cannot be discovered.

  • Build a dependency-aware graph. Producers must come before consumers.

Independent tasks should not depend on each other.

  • Put single workflow-local table requirements inside that workflow task spec.

Do not create separate data-table tasks unless the table work is a durable

artifact shared across tasks.

  • Add checkpoint tasks only for exceptional semantic checks that normal

workflow verification cannot cover.

  • Load create-tasks via load_tool if needed, then call create-tasks with

planningContext.source: "planning-skill",

a concise summary, optional assumptions, postBuildRunRequested: true

only when the user explicitly asked to run, execute, or test a workflow

after building it, and the final task graph.

  • After calling create-tasks, do not write visible text. The approval card is

the user-visible surface.

Task Graph Rules

  • Use task kinds exactly as supported: build-workflow and checkpoint.
  • Each task id must be stable and referenced by dependency edges.
  • Each title should be short and user-facing.
  • Each spec must be the complete executor briefing for that task. The task

executor may not see your broader planning notes.

  • For build-workflow tasks, make spec a structured executor briefing, not

freeform prose. Include these labels in this order: Outcome,

Trigger mode, External systems, Required effects, Required branches,

Required data, Explicit constraints, Empty/invalid behavior, and

Done when.

  • In Required effects, list every observable action the user asked for, such

as send email, send Telegram, write Google Sheets, create Notion pages, upsert

Data Table rows, or post one Slack summary.

  • In Required branches, state partial-failure behavior when multiple effects

start from the same trigger, and state whether no-results or invalid-input

paths need an explicit notification, fallback, log, or no-op.

  • In Required data, name fields needed by later conditions, filters, ranking,

response messages, or downstream effects, and note when those fields must

remain available after side-effect nodes that replace item JSON.

  • In Explicit constraints, preserve concrete user-provided resource names,

channels, tables, labels, URLs, and required node families or mechanisms. If

the user explicitly says to use a node family or mechanism such as HTTP

Request, webhook, form, MCP, or a service-native node, treat that as a hard

requirement unless it is impossible or contradicts another stated requirement.

Do not move those values to assumptions, replace them with placeholders, or

silently swap them for a more convenient alternative.

  • In Empty/invalid behavior, distinguish data that invalidates the whole item

from data that only affects one requested effect. For multi-effect intake

workflows, do not turn a field into a workflow-wide rejection requirement

merely because one message or side effect uses it.

  • In Done when, write observable acceptance checks, including final actions

and branch behavior. Do not write node-by-node wiring or fake user data.

  • If a build-workflow task's final deliverable is a supporting sub-workflow,

set isSupportingWorkflow: true on that task. Do not set it for helper

sub-workflows that are only intermediate artifacts inside a larger main

workflow task.

  • For checkpoint tasks, write structured semantic verification instructions:

Verify trigger mode, Verify external systems, Verify required effects,

Verify required branches, Verify required data,

Verify explicit constraints, Verify empty/invalid behavior, and

Pass condition. Checkpoints are exceptional; use this structure only when a

checkpoint is actually warranted.

Assumptions And Questions

  • Never ask about things tools can discover, such as available credentials,

existing data tables, workflow names, node availability, or attached-file

structure.

  • Never ask for implementation details such as node choices, column names, or

trigger mechanics when a sensible default exists.

  • Never ask for the user's timezone when the current date/time section includes

it. Use that timezone for schedule times, cron assumptions, and digest windows.

  • Never default resource identifiers the user did not mention, such as Slack

channels, calendars, spreadsheets, folders, databases, or recipient lists.

Leave them for the builder to resolve or collect through setup.

  • Trust already-collected briefing context. If the conversation or task briefing

includes already-collected answers or already-discovered resources, treat them

as authoritative and do not ask again for purpose, trigger, integrations,

schedule, model, resource, or credential choices already listed there.

  • A question is asked at most once. Once the user has answered, deferred

("later"), or skipped it, never re-present it. On a skip or deferral, record a

sensible assumption in planningContext.assumptions where a default exists

(for example a default morning time for a digest), otherwise leave the detail

for the builder or setup — do not block on it and do not ask again.

  • If exactly one matching credential exists, assume it and mention the

credential name in planningContext.assumptions.

  • If no matching credential exists, plan normally. The builder will mock or

leave it unresolved and route setup after verification.

  • If multiple matching credentials exist and the user did not name one, ask once

with ask-user because the choice cannot be discovered.

  • Use credential-backed resource investigation only when it changes the plan,

for example validating a named Slack channel that affects the architecture. Do

not turn resource lookup into a credential-choice question unless the

multiple-credentials rule applies.

Checkpoints

Workflow verification is automatic from structured build outcomes. Do not add

routine "verify this workflow" checkpoint tasks for every workflow.

Checkpoint tasks are exceptional semantic checks. Use them for cross-workflow

contracts, confirming a report combines upstream data correctly, validating a

business invariant across deliverables, or checking a condition that cannot be

covered by normal runtime verification.

Do not add checkpoints for routine verification-only work.

Revisions

If the user rejects the plan with requested changes, revise surgically, load

create-tasks via load_tool if needed, and call create-tasks again in the

same orchestrator run with

planningContext.source: "planning-skill".

If the user denies the plan outright, stop. Do not call create-tasks again in

the same message group.

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How to use it

Copy the folder

Take n8n-io/planning from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.