scout
Skill54 starsChanged 27 days agoMITView on GitHub
Scout the territory before building — a map-vs-territory diagnostic plus eight lightweight techniques (blindspot pass, brainstorm prototypes, interview, references, decision-first plans, deviation notes, explainers, quizzes) for finding your unknowns before they get expensive, applied inline with no workflow ceremony. Use when the user starts unfamiliar work, says "scout this", "blindspot pass", "unknown unknowns", "我不熟这块", "帮我找盲区", can't articulate what they want, or a long-horizon task came back wrong and planning harder isn't helping.
47 other projects use a version of this.
Adopted by
Most recently taken up by
- venhdev/skillstheir own version, first seen Nov 8, 2026
- dfirmin/compasstheir own version, first seen Nov 8, 2026
- apattichis/agentic-research-toolkittheir own version, first seen Nov 8, 2026
- eggs-gd/career-spacetheir own version, first seen Nov 8, 2026
- dirien/yet-another-agent-harnesstheir own version, first seen Nov 8, 2026
- oscout/scouttheir own version, first seen Nov 4, 2026
Used with
Projects with it also use expand, explain and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
andrewclark88Skillexpand
Expand a project's scope by updating its foundation documents. Reads existing north-star.md (or north-star-<project>.md), architecture.md, and roadmap.md, understands the codebase state, then interviews the user about the expansion. Updates foundation docs and roadmap so design can consume them in the next phase. Use when adding a major capability, new subsystem, or architectural shift — not for small one-offs (use feature for those).
Also in 3 projects that use this
sunnyclinches44Skillexplain
Explains code using real-world analogies and ASCII diagrams
Also in 5 projects that use this
WordPressSkillblueprint
Use when the deliverable is WordPress Playground Blueprint JSON or a Blueprint bundle, including creating, editing, reviewing, validating schema keys, choosing steps/resources, and debugging Blueprint files. For only running or sharing a Playground environment, use wp-playground.
Also in 3 projects that use this
AWSSkillissue
Implement a GitHub issue end-to-end — branch, code, test, docs, and commit.
Also in 3 projects that use this
bradtraversySkillfeature
Manage current feature workflow - start, review, explain or complete
Also in 3 projects that use this
HK-hubSkilldistill
Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean. Use when the user asks to simplify, declutter, reduce noise, remove elements, or make a UI cleaner and more focused.
Also in 3 projects that use this
Other versions47 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 47
- huytieu/COG-second-brain★ 1.3ksame name
- HazAT/pi-config★ 451same name
- OneWave-AI/claude-skills★ 378same name
- typv/nest-turbo-starter★ 224same name
- QinghongLin/data2story-skill★ 155same name
- andrew-yangy/gru-ai★ 153same name
- simota/agent-skills★ 96same name
- anton-abyzov/vskill★ 47same name
- baekenough/oh-my-customcode★ 42same name
- AgriciDaniel/youtube-scout★ 35same name
37 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ambitionSkill
- android-declutterSkill
- cmailSkill
- humanizerSkill
- lark-cliSkill
- project-setupSkill
- python-scriptSkill
- refine-codeSkill
- tapSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 43 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 24
Before picking a technique, collect the user's starting point — experience with the domain, familiarity with this part of the codebase, …
- Distinctive: line 52
When a long-horizon task comes back wrong, the instinct is to plan harder.
“Common” is measured: kept by at least 6 in 10 of the 43 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Scout
Distilled from Thariq's A Field Guide to Fable: Finding Your Unknowns.
Premise: the prompt and context are the map; the codebase and its real constraints are the territory. The gap between them is the user's unknowns, and work quality is bottlenecked by clarifying them — before, during, and after implementation. This skill is a toolkit, not a workflow: diagnose, pick one technique, run it inline. Produce no artifact beyond what the technique itself outputs.
Diagnose first
Before picking a technique, collect the user's starting point — experience with the domain, familiarity with this part of the codebase, where they are in their thought process. Every technique below degrades to generic output without it. Then place the unknowns:
| Quadrant | Signal | Technique |
| Known knowns | Already in the prompt | Just work |
| Known unknowns | "I haven't decided X yet" | Interview |
| Unknown knowns | "I'll know it when I see it" | Prototypes, References |
| Unknown unknowns | Unfamiliar domain or code area | Blindspot pass first |
Before implementation
- Blindspot pass — the user doesn't know what questions to ask. Survey the territory for them: what good looks like, prior art in the repo, common potholes, the domain vocabulary. Teach, don't list — the output should upgrade their next prompt, not just enumerate gaps.
- Brainstorm + prototypes — criteria they'd only recognize on sight. Show several genuinely different directions with fake data before wiring anything up (HTML artifact for anything visual). Also works for scope: brainstorm interventions from cheapest to most ambitious and let them react.
- Interview — one question at a time, prioritizing questions whose answers would change the architecture. The
grillskill is the heavy-duty version. - References — when pointing beats describing. Source code is the best reference: read the implementation they like (any language) and reimplement its semantics, not its surface.
- Decision-first plan — order the plan by what the user is most likely to tweak: data models, type interfaces, user-facing flows on top; mechanical refactors at the bottom.
During implementation
- Deviation notes — unknowns surface mid-flight no matter how good the plan. On hitting one: pick the conservative option, log it under a
Deviationsheading inimplementation-notes.md, keep going. The log feeds the next attempt's map.
After implementation
- Explainer / pitch — reviewers start with the same unknowns the user had. Package prototype, spec, and deviation notes into one doc that answers them up front.
- Quiz — the user merges only what they can pass a quiz on. Report what changed with context and intuition, quiz at the bottom, perfect score before merge. The
teachskill is the full loop.
The habit
When a long-horizon task comes back wrong, the instinct is to plan harder; the fix is usually to find the unknowns the plan was silent about. Every technique here is a cheap way to learn something before it gets expensive to fix.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

