Idea Refinement
addyosmani/agent-skills
Guides a conversation that takes a vague idea through divergent and convergent thinking and ends in a markdown one-pager covering scope and assumptions.
Explore the scope of a vague idea BEFORE framing it into a spec (the idea→scope leg; the optional opening move ahead of /think).
$ npx skills add agentculture/culture --skill scope -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentculture/culture scope --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "scope" agent skill from https://github.com/agentculture/culture/tree/main/.claude/skills/scope into .claude/skills/scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scope", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentculture/culture/tree/main/.claude/skills/scopeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentculture/culture --skill scope -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentculture/culture scope --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentculture/culture.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scope .agents/skills/scope && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scope" agent skill from https://github.com/agentculture/culture/tree/main/.claude/skills/scope into .agents/skills/scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scope", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentculture/culture --skill scope -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentculture/culture scope --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentculture/culture.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scope .cursor/skills/scope && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scope" agent skill from https://github.com/agentculture/culture/tree/main/.claude/skills/scope into .cursor/skills/scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scope", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentculture/culture.git --path .claude/skills/scope--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentculture/culture --skill scope -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentculture/culture scope --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentculture/culture.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scope .gemini/skills/scope && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scope" agent skill from https://github.com/agentculture/culture/tree/main/.claude/skills/scope into .gemini/skills/scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scope", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentculture/culture scopeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentculture/culture --skill scope -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentculture/culture.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scope .github/skills/scope && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scope" agent skill from https://github.com/agentculture/culture/tree/main/.claude/skills/scope into .github/skills/scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scope", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentculture/culture --skill scope -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentculture/culture scope --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentculture/culture.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scope .opencode/skills/scope && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scope" agent skill from https://github.com/agentculture/culture/tree/main/.claude/skills/scope into .opencode/skills/scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scope", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scopeExplore 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). 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d5b5715. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gituvFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from agentculture/culture at commit d5b5715, republished under its Apache-2.0 licence (© agentculture). 990 words, ~2,393 tokens.
.claude/skills/scope/SKILL.md (or your agent's skills folder).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).
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.)
git ls-files and the repo's CLAUDE.md are the usual map.requirement or
assumption claim in the frame;boundary or
non_goal claim;park
(open vagueness) or a question (pending user decision).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.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:
| Move | What 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:
| Finding | Move |
|---|---|
| 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 decision | question "<text>" (later question --resolve <qid> --decision "<text>") |
| genuinely unknown, not decidable now | park "<text>" --kind unknown_blocking|unknown_nonblocking |
--origin llm
land proposed; the user confirms. Same anti-fabrication contract as
/think.Scoping "devague exports should carry per-item instructions" against the devague repo itself:
# 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 idsEvery 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.
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.
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
Just SKILL.md in .claude/skills/scope of agentculture/culture.
Open the folder on GitHubat commit d5b5715
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scope this skillagentculture/culture | 113 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Idea Refinementaddyosmani/agent-skills | 102k | 6 repos | ~2k | Automated safety check: Pass | MIT | |
| Idea Darwinsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Agent Scout Explorerruvnet/ruflo | 74k | 3 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Frame Titlethedaviddias/Front-End-Checklist | 74k | — | ~438 | Automated safety check: Pass | MIT | |
| Caveman Repository ExplorerJuliusBrussee/caveman | 110k | 1 repos | ~492 | Automated safety check: Pass | Apache-2.0 |
addyosmani/agent-skills
Guides a conversation that takes a vague idea through divergent and convergent thinking and ends in a markdown one-pager covering scope and assumptions.
sickn33/agentic-awesome-skills
Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.
ruvnet/ruflo
Agent skill for scout-explorer - invoke with $agent-scout-explorer
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Provide titles for iframes and frames.
JuliusBrussee/caveman
A read-only explorer for cold-start orientation or failed searches that replies with nothing but file path and line range citations, keeping its reads out of main context.
sickn33/agentic-awesome-skills
Write one idea as a Twitter/X post and a LinkedIn post that read as written separately, not pasted twice.
agentculture/culture
Show a Culture agent's full configuration in one read-only view: its system-prompt file (CLAUDE.md / AGENTS.md / GEMINI.md), the parallel culture.yaml, and the agent's local .claude/skills index.
agentculture/culture
CI/CD lane for culture: branch, commit, push, create PR, wait for automated reviewers, fetch comments, fix or pushback, reply, resolve threads.
agentculture/culture
All agent communication from culture: in-mesh chat (channels, DMs, mentions, knowledge sharing) via culture channel CLI, AND cross-repo hand-off briefs to sibling-repo agents (agentirc, steward…
agentculture/culture
Cross-repo + mesh communication: file tracked GitHub issues on sibling repos, comment on existing issues, fetch issues with body + comments to inline current state into briefs, and send live…
agentculture/culture
Fan out a converged devague plan's dependency waves to parallel agents in isolated git worktrees, one agent per task per wave, with TDD-gated merges by the main agent.
agentculture/culture
Switch a PyPI package install between the production index, TestPyPI pre-release builds, and a local editable checkout.
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).
Scope fits situations like: the user says explore scope; scope this idea; what does this touch; scope exploration.
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.
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.
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.
Going by SKILL.md and its folder, Scope needs the command-line tools its instructions call (git and uv).
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.
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.
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.
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.
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.
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.