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plan

Plan future work, investigate before building, research a topic, or compare the alternatives for a choice.

Skill by archcore-ai

IndexedApache-2.0★ 71
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/archcore-ai-plan

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About

Plan future work, investigate before building, research a topic, or compare the alternatives for a choice. Takes optional free text. The skill reads the request, open drafts, accepted canon, branch, and code, then creates only the documents a later reader needs — none for a small fix. Use for 'plan the X redesign', 'create a roadmap', 'plan a new feature', 'plan the onboarding journey', 'investigate X before we plan', 'compare the alternatives for Y', 'REST or a queue? two teams disagree', 'I need market research before we plan', 'we are regulated — trace the requirements'. With no arguments it resumes an open planning draft or offers what to plan next. Not for recording a decision or documenting existing code — use /archcore:document. Not for checking docs against code — use /archcore:review.

Use cases: documents, backend, research

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/plan

What's inside

Skill name
plan
Description
Plan future work, investigate before building, research a topic, or compare the alternatives for a choice. Takes optional free text. The skill reads the request, open drafts, accepted canon, branch, and code, then creates only the documents a later reader needs — none for a small fix. Use for 'plan the X redesign', 'create a roadmap', 'plan a new feature', 'plan the onboarding journey', 'investigate X before we plan', 'compare the alternatives for Y', 'REST or a queue? two teams disagree', 'I need market research before we plan', 'we are regulated — trace the requirements'. With no arguments it resumes an open planning draft or offers what to plan next. Not for recording a decision or documenting existing code — use /archcore:document. Not for checking docs against code — use /archcore:review.
License
Apache-2.0
Instructions
151 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# /archcore:plan

Plan future work from the project context. Context resolution
(`skills/_shared/gate-contract.md`, section Context resolution) records the
claims, unknowns, hazards, and authority; the conductor
(`skills/_shared/delta-routing.md`) selects the documents a later reader needs;
instruments produce them. Vision types are the primary output. Reads cover all three categories: vision supplies intent and
resumption targets, knowledge supplies constraints, experience supplies
precedent.

## When to use

- "Plan a new feature for CSV export" → typically one `spec` and one `plan`
- "Upgrade the HTTP client across three services with a coordinated rollout" → a `plan` alone
- "Plan the notifications platform" → a `prd`, one `spec` per capability, one `plan`
- "Fix the typo in the onboarding copy" → no document; implement directly
- "I need market research before we plan" → acquisition instrument
- "We must trace these requirements for the auditor" → only the requirement levels that obligation names
- "Investigate X before we plan" → `research`; "Compare the alternatives for Y" → `rnd`
- "REST or a queue for SAP? Two teams disagree", with the facts of both options recorded → `rfc`
- `research <topic>` as the first word → the type `research`

**Not plan:**

- Recording a decision → `/archcore:document`
- Documenting existing code → `/archcore:document`
- Codifying a team standard → `/archcore:document`
- Checking documents against code → `/archcore:review`

## Entry

Apply in this order:

| Signal | Action |
|---|---|
| No arguments, one draft with a state block this command resumes | Resume it at its earliest incomplete gate |
| No arguments, several such drafts | Resume rule 10 in `skills/_shared/gate-contract.md` |
| No arguments, a clear request in the session or one unfinished plan | Offer a start menu of at most four items, each with the evidence that names it, the recommended item first |
| No arguments and no reliable signal | Ask one question — what outcome to plan; a dirty branch alone is not a target |
| The first word is a type slug | The explicit type request per `explicit-type-request-wins.adr`; a leading `research` requests the type `research` |
| Any other request | Context resolution, then Selection per `skills/_shared/delta-routing.md` |
| A decision surfaces at a gate | Record the `adr` through the decision instrument (`skills/_shared/tracks/decision.md`), then return to the open gate |

Research boundary: discovery feeding an `mrd` → `brd` → `urd` requirements
chain belongs to acquisition. A request naming a pending decision or a set of
candidates to choose between produces `rnd` only when the evidence to choose
is missing; any other investigation produces `research`. WHEN the deciding facts
are already recorded and the open part is whose weights win — two owners
disagree, or the owner has not chosen — the decision instrument records an
`rfc`, and no `rnd` is created. A standalone external material is filed through
`/archcore:document`. A request proposing a specific target for team review
("let's adopt Y", "draft an RFC for Y") belongs to `/archcore:document`'s
decision instrument; a lone "should we switch to Y" with the evidence to choose
missing stays here as `rnd`.

## Execution

### 1. Ground

Complete this step before asking the user any question. The research
vocabulary probe (`skills/_shared/research-compatibility.md`) runs only under
its own condition 1 — a request or type naming `research` or `evidence`, a
selection engaging the research instrument, or a grounding result of either type.
Add `research` and `evidence` to the planning-moment filter below only when
the probe returns `yes`; a topic search without a type filter finds documents
of both types on every engine. If this skill has no shell tool, use the probe
result the host supplied; if none was supplied, report `needs-vocabulary-probe`
with the helper path and stop before the first MCP call that names either type.

The actor-subject probe (`skills/_shared/actor-subject-compatibility.md`) runs
under its own condition 1 — a request naming `scenario` or `journey`, a selection
engaging the illustrate instrument, or a grounding result of either type — and
adds both types to the filter below only when it returns `yes`. The same
no-shell rule applies: report `needs-vocabulary-probe` and stop before the first
MCP call that names either type.

1. Search `.archcore/` with `mcp__archcore__search_documents` and `mcp__archcore__list_documents` across all three categories. Pass a planning-moment type filter — for example `types=["idea", "prd", "plan", "spec", "rnd", "rfc", "adr", "rule", "task-type", "cpat"]` — and add `"scenario"`, `"journey"` when the actor-subject probe returned `yes` — instead of relying on the global type ranking. Do not exclude a category from reads.
2. WHEN a found document carries `implements`, `depends_on`, or `related` relations, pull the linked documents one hop via `mcp__archcore__list_relations` and `mcp__archcore__get_document`.
3. WHEN a found draft on the topic carries an `archcore:track` state block, resume it per the resume rules in `skills/_shared/gate-contract.md` and `skills/_shared/delta-routing.md` instead of opening a new track.
4. Read git state — current branch, recent commits, working tree — and the code areas the topic names. Record the concrete files and modules for Step 5, and note owner documents whose referenced paths changed after them — the staleness input to Selection.
5. IF `.archcore/` exists but contains no documents, THEN proceed on outer-context grounding (git state and the codebase) and report that zero documents were found.
6. IF `.archcore/` does not exist, THEN announce initialization in one line and call `mcp__archcore__init_project` without asking a question.

**Global sources.** If a `list_documents` / `search_documents` result has
`global: true` / `read_only: true` / `source_kind: "global"`, load
`skills/_shared/globals.md`. Also load it when a `search_documents` response's
`coverage` names a source other than `"local"` — even when `results` is empty:
the empty page is exactly where that file's retry ladder applies. Never modify
a global document and never target one with `add_relation`. Absent any global
match, proceed as usual.

### 2. Select

Build the context record per `skills/_shared/gate-contract.md`, section Context
resolution, then run Selection per `skills/_shared/delta-routing.md` and report
its selection line. Never ask the user to choose an instrument.

### 3. Budget

Interview mechanics, question form, and the ceiling of 5 questions per
invocation: `skills/_shared/elicitation-contract.md`.

### 4. Execute the selection

Invoke each selected instrument, in conductor order, per the instrument
registry and sequencing rules in `skills/_shared/delta-routing.md`. Run each
instrument's gates per `skills/_shared/gate-contract.md`: evaluate `skip_when`
first at every gate, keep track state only in the `archcore:track` block
inside the draft artifact (with the `claims:` field this command adds), persist each gate close in one `mcp__archcore__update_document` call,
and follow the resume rules on re-entry. Gate bodies, per-gate questions, and
relation wiring live in the track files — do not restate them.

Before delegating research or evidence work, pass the current vocabulary probe
result and absolute plugin root to the assistant. If the assistant returns
`needs-vocabulary-probe`, run the helper and resume the same task.
Before delegating any other document write or relation work, pass the absolute
plugin root to the assistant. The assistant reads
`skills/_shared/relation-authoring.md` under that root.

From archcore-ai/archcore, Apache-2.0.

Signals

Stars
71
Forks
13
Open issues
13
Last commit (this folder)
Oct 16, 2026 (13 days ago)
Last release
Oct 16, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from archcore-ai

Cite this page

plan skill. Agent Mart. https://agentmart.dev/skills/archcore-ai-plan (last updated 2026-10-24)