Agent skill

Scope

by agentculture in agentculture/culture

Explore the scope of a vague idea BEFORE framing it into a spec (the idea→scope leg; the optional opening move ahead of /think).

Apache-2.0Auto-check passed

Install Scope

skills CLI
$ npx skills add agentculture/culture --skill scope -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentculture/culture scope --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentculture/culture.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scope .claude/skills/scope && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scope
GitHub stars
113
Token cost
~2.4k tokens
SKILL.md length
990 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
Apache-2.0

At a glance

Explore the scope of a vague idea BEFORE framing it into a spec (the idea→scope leg; the optional opening move ahead of /think).

  • Works in 4 steps: Enumerate candidate surfaces. List what… → Explore each surface read-only. Read… → Classify every finding. Each explored… → …
  • The user says explore scope
  • SKILL.md covers When to use — and when to skip, The method, How findings land (the shipped… and Hard rules (do not violate), plus 3 more sections
  • Calls git and uv

What it does

Scope is an agent skill from agentculture/culture. Explore the scope of a vague idea BEFORE framing it into a spec (the idea→scope leg; the optional opening move ahead of /think). Survey the surfaces the idea touches — code, docs, skills, CI, sibling repos — and seed the coming Announcement Frame with boundary, non-goal, and assumption claims that cite what was actually explored (provenance, not generic disclaimers). Use when the user says "explore scope", "scope this idea", "what does this touch", "map the scope", "scope exploration", or when an idea touches an…

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Culture turns isolated stochastic agents into cooperative, inspectable, improvable artificial colleagues. The licence is Apache-2.0.

When your agent uses it

  • The user says explore scope
  • Scope this idea
  • What does this touch
  • Scope exploration

Example prompts

  • “explore scope”
  • “scope this idea”
  • “what does this touch”
  • “/scope”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Enumerate candidate surfaces. List what the idea might touch: source
  2. Explore each surface read-only. Read enough of each candidate to decide
  3. Classify every finding. Each explored surface yields one of
  4. Record findings on the frame, with provenance. Start the frame with

What it can do on your machine

Read from SKILL.md and the folder at commit d5b5715. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scope loads about 2.4k tokens when it runs. Until then it costs about 218 tokens; SKILL.md has 990 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~218
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentculture/culture at commit d5b5715, republished under its Apache-2.0 licence (© agentculture). 990 words, ~2,393 tokens.

Download SKILL.mdSave it as .claude/skills/scope/SKILL.md (or your agent's skills folder).
name
scope
description
Explore the scope of a vague idea BEFORE framing it into a spec (the idea→scope leg; the optional opening move ahead of /think). Survey the surfaces the idea touches — code, docs, skills, CI, sibling repos — and seed the coming Announcement Frame with boundary, non-goal, and assumption claims that cite what was actually explored (provenance, not generic disclaimers). Use when the user says "explore scope", "scope this idea", "what does this touch", "map the scope", "scope exploration", or when an idea touches an existing codebase and speccing it cold would mean guessing its boundaries. Hand off to the sibling /think skill to build the frame. Authored and maintained in agentculture/devague (origin = devague); guildmaster pulls this skill from here and broadcasts it to the AgentCulture mesh — it is NOT vendored from guildmaster like the inbound skills here.
type
command

scope — explore what an idea touches before you frame it

The skill is named scope; it is the opening leg of the devague method — run it before the sibling /think skill frames an idea into a spec. Where /think converges on what to build, /scope grounds where the idea lives: which surfaces it touches, which it must not, and what is genuinely unknown — so the frame starts from explored territory instead of guesses.

This comes from the sharper end-to-end method spec (devague#53): scope grounded up front means convergence measures real coverage instead of vibes. The exploration itself is agent-side work — the devague CLI stays deterministic and never explores anything (#20).

When to use — and when to skip

Use /scope when the idea touches an existing codebase or ecosystem: a feature in a real repo, a process change across skills, anything where boundaries are discoverable rather than invented.

Skip it freely for small ideas. Scope exploration is not a mandatory first stage — the move-driven adaptive arc stays intact, and an idea that fits in one announcement can go straight to /think. (This is a recorded non-goal of the method: no wizard.)

The method

  1. Enumerate candidate surfaces. List what the idea might touch: source packages, CLI verbs, renderers, schemas, tests, docs, skills, CI workflows, sibling repos. git ls-files and the repo's CLAUDE.md are the usual map.
  2. Explore each surface read-only. Read enough of each candidate to decide: touched, not touched, or unknown. Exploration never mutates anything — no edits, no state changes, no CLI moves yet.
  3. Classify every finding. Each explored surface yields one of:
    • in scope — the idea changes it → becomes a requirement or assumption claim in the frame;
    • out of scope — the idea must not change it → becomes a boundary or non_goal claim;
    • genuinely unknown — can't tell without a decision → becomes a park (open vagueness) or a question (pending user decision).
  4. Record findings on the frame, with provenance. Start the frame with devague new "<announcement>" --title "<short>" (this is also /think's first move) — scope entries live on the frame, so it must exist first. Record each explored surface as a first-class finding: `devague scope "<surface>" --finding "<text>" [--seeds <claim-id> ...]` — text that cites the surface explored ("the CLI stays deterministic per issue 20; scope exploration is agent-side" beats "we won't overreach"). Capture the claim it seeded first (capture --kind ...), then pass its id to --seeds — an unknown seed id is refused with a hint. Provenance, not generic disclaimers: a reviewer should be able to trace every boundary claim back to something you read.

How findings land (the shipped surface)

This skill invokes the CLI directly and stays self-contained (if devague isn't on your PATH: uv tool install devague).

The primary landing surface is the deterministic devague scope move, shipped in task t3 of the committed sharper-end-to-end-method plan (docs/plans/2026-07-01-devague-ships-a-sharper-end-to-end-method-a-guided.md, devague#53). It records an explored surface + finding as first-class frame state (Frame.scope_entries / ScopeEntry: id (sN), surface, finding, seeds) — deterministic recording only, no LLM calls, no subprocess, no filesystem exploration inside the CLI. Like capture, it needs a frame to already exist, so run devague new first:

MoveWhat it does
devague scope "<surface>" --finding "<text>"Record a finding on the current frame.
devague scope "<surface>" --finding "<text>" --seeds <claim-id> [<claim-id> ...]Record a finding, linking it to the claim id(s) it went on to seed. An unknown seed id is refused with a hint (run 'devague show' to see valid claim ids).
devague scope --list [--json]Read every recorded entry back.

Boundary / non-goal / in-scope claims still land the same way they always did, through the normal frame moves — devague scope documents what surface you explored and what you learned, capture records the claim that followed:

FindingMove
in scope (the idea changes this)capture --kind requirement / --kind assumption (with --origin llm if you proposed it)
out of scope (must not change)capture --kind boundary / --kind non_goal
genuinely unknown, needs a user decisionquestion "<text>" (later question --resolve <qid> --decision "<text>")
genuinely unknown, not decidable nowpark "<text>" --kind unknown_blocking|unknown_nonblocking
Show full SKILL.md (322 more words)Show less

Hard rules (do not violate)

  • Exploration is read-only. Surveying scope never edits files, never mutates frame state, never runs a mutating CLI move.
  • Provenance in every seeded claim. A scope-derived claim cites what was explored. If you didn't read it, don't claim it.
  • LLM proposals stay proposed. Findings you capture with --origin llm land proposed; the user confirms. Same anti-fabrication contract as /think.
  • Don't become a wizard. Scope exploration is optional-by-size and adaptive. Never block a small idea on a survey it doesn't need.

Worked example

Scoping "devague exports should carry per-item instructions" against the devague repo itself:

bash
# 1–2. enumerate + explore (read-only)
git ls-files devague/ | head -30       # the CLI package map
# read: devague/frame.py (claim model), devague/render/spec_md.py (renderer),
#       docs/spec-contract.md (schema contract), .claude/skills/think/SKILL.md

# 3. start the frame (also /think's first move — scope entries live on it)
devague new "devague exports carry per-item instructions" --title "per-item instructions"

# 4. capture each finding as a claim, then record the scope entry that seeded it
devague capture --origin llm --kind requirement "claims gain an optional instruction field — devague/frame.py claim model + docs/spec-contract.md schema both need a bump"
devague scope "devague/frame.py" --finding "claim model needs an optional instruction field per docs/spec-contract.md's schema contract" --seeds c2

devague capture --origin llm --kind boundary "render/spec_md.py renders instructions verbatim; absent instructions render nothing — the renderer never fabricates filler"
devague scope "render/spec_md.py" --finding "renderer must render instructions verbatim; absent instructions render nothing — never fabricate filler" --seeds c3

devague capture --origin llm --kind non_goal "no LLM calls land inside the CLI (issue 20) — instruction text is authored by the operator/user, never generated in-CLI"
devague scope "issue 20 (no LLM calls in-CLI)" --finding "instruction text is authored by the operator/user, never generated in-CLI" --seeds c4

devague question "do instructions attach to frame claims, plan tasks, or both?"
devague scope --list   # read every recorded finding back, with its seeded claim ids

Every claim above names the file or issue that was actually read — that is the provenance bar. Note the order: --seeds needs the claim id to already exist, so capture runs first and the matching scope call cites it back.

After scoping — hand off to /think

The recorded scope entries and the claims captured alongside them both live on the same frame — there is nothing separate to export. devague scope --list is the durable, citable record of what was explored; a converged frame's exported spec-md also renders a ## Scope exploration section from the same entries (surface, finding, and seeded claim ids), so the provenance survives into the buildable artifact (#53 t6). When the survey is done, continue with /think's remaining moves (interrogate, confirm/reject, converge, export) to take the frame the rest of the way. The user confirms LLM-proposed claims there, as always.

Provenance

This is a first-party skill — its origin is agentculture/devague, the fourth authored in the outbound family (after /think, /spec-to-plan, and /assign-to-workforce) but the opening leg of the flow, covering the pre-frame exploration that runs before /think. guildmaster pulls it from here and broadcasts it to the AgentCulture mesh; because devague is upstream, it is never re-vendored back from guildmaster's re-broadcast copy. The cite, don't import policy still holds: downstream repos copy it, they don't symlink or depend on it. See docs/skill-sources.md.

© agentculture, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/scope of agentculture/culture.

Open the folder on GitHubat commit d5b5715

Compare with similar skills

Scope next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scope compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scope this skillagentculture/culture113—~2.4kAutomated safety check: PassApache-2.0
Idea Refinementaddyosmani/agent-skills102k6 repos~2kAutomated safety check: PassMIT
Idea Darwinsickn33/agentic-awesome-skills47k2 repos~1.1kAutomated safety check: PassMIT
Agent Scout Explorerruvnet/ruflo74k3 repos~1.6kAutomated safety check: PassMIT
Frame Titlethedaviddias/Front-End-Checklist74k—~438Automated safety check: PassMIT
Caveman Repository ExplorerJuliusBrussee/caveman110k1 repos~492Automated safety check: PassApache-2.0

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Questions about Scope

What does Scope do?

Explore the scope of a vague idea BEFORE framing it into a spec (the idea→scope leg; the optional opening move ahead of /think). Scope is an agent skill from agentculture/culture. Explore the scope of a vague idea BEFORE framing it into a spec (the idea→scope leg; the optional opening move ahead of /think).

When should I use Scope?

Scope fits situations like: the user says explore scope; scope this idea; what does this touch; scope exploration.

How do I install Scope in Claude Code?

Run `npx skills add agentculture/culture --skill scope -a claude-code`. Or copy the skill folder (.claude/skills/scope in agentculture/culture) into .claude/skills/scope in your project. Claude Code loads it when a task matches its description.

How do I install Scope in Codex?

Run `npx skills add agentculture/culture --skill scope -a codex`. Or copy the skill folder (.claude/skills/scope in agentculture/culture) into .agents/skills/scope in your project. Codex loads it when a task matches its description.

Can I use Scope in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentculture/culture --skill scope -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scope, .gemini/skills/scope, .github/skills/scope and .opencode/skills/scope in your project.

What does Scope need to run?

Going by SKILL.md and its folder, Scope needs the command-line tools its instructions call (git and uv).

Does Scope access the network?

SKILL.md contains no URLs. Its commands use git and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Scope safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scope use?

Scope is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scope use?

About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scope?

Skills that share tags, products or a category with Scope: Idea Refinement (addyosmani/agent-skills, 102k stars), Idea Darwin (sickn33/agentic-awesome-skills, 47k stars), Agent Scout Explorer (ruvnet/ruflo, 74k stars) and Frame Title (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scope?

agentculture (a GitHub organization) maintains it in agentculture/culture, which has 113 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on August 23, 2026.

Source: agentculture/culture on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.