intake
Skill1 starsChanged 25 days agoMITView on GitHub
Run the pre-build decision interview. Ask until every open decision is settled, restate the goals back for confirmation, and route each settled decision to the carrier that keeps the agent from revisiting it. Use when starting a non-trivial piece of work, when an idea or plan has open questions, when requirements feel fuzzy, or when asked to run an intake. Skip for trivial edits with no open decisions.
34 other projects use a version of this.
Adopted by
Most recently taken up by
- cdfarkas/cdfarkas-skillstheir own version, first seen Nov 8, 2026
- Mathews-Tom/armorytheir own version, first seen Nov 1, 2026
- ghvinashvili/specagenttheir own version, first seen Nov 1, 2026
- bmtrnavsky/disciplined-vibe-codingtheir own version, first seen Nov 1, 2026
- GopkoDev/motion-flowtheir own version, first seen Oct 20, 2026
- awslabs/service-onboarding-accelerator-on-awstheir own version, first seen Oct 20, 2026
Used with
Projects with it also use plan, triage and 6 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.
BlockSkillplan
Draft a TDD, PRD, or lightweight plan in the conversation without committing it.
Also in 4 projects that use this
Google CloudSkilltriage
Gather context on a change or bug and plan the implementation.
Also in 4 projects that use this
AWSSkillretro
Conduct a retrospective on a coding session.
Also in 4 projects that use this
Microsoft AzureSkillbuild
Build the TypeSpec Rust emitter from source. Run this after cloning the repo, after pulling changes, or when TypeScript source files have been modified.
Also in 3 projects that use this
VercelSkilldeploy
Deploy applications to Vercel. Use when the user says "deploy", "deploy to Vercel", "push to production", "deploy my app", or "go live".
Also in 3 projects that use this
VercelSkillsetup
Set up Vercel CLI and project configuration. Use when the user says "set up Vercel", "configure Vercel", "link to Vercel", or "vercel init".
Also in 4 projects that use this
Other versions34 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 34
- openai/plugins★ 7.8ksame name
- Mathews-Tom/armory★ 340same name
- skillberry-ai/cap-evolve★ 69same name
- Consortium-team/project-creator★ 17same name
- bmtrnavsky/disciplined-vibe-coding★ 15same name
- awslabs/service-onboarding-accelerator-on-aws★ 7same name
- ghvinashvili/specagent★ 7same name
- ndisisnd/msg★ 6same name
- tonydzi/second-brain-starter-kit★ 6same name
- stevehansen/eidet★ 4same name
24 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 repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- declared-breaksSkill
- deep-modulesSkill
- load-bearing-commentsSkill
- meaningful-testsSkill
- portable-skillsSkill
- shown-workSkill
- verifySkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 33 edited versions we read keep these.
5
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 12
The human is never asked a question the agent can settle: Every question arrives with a recommended default, so steering is a …
- Distinctive: line 31
Write: "Partial refunds allowed?
- Distinctive: line 32
Avoid: "What are your thoughts on partial refunds?" (no default, no shape)
- Distinctive: line 37
Stop when the tree is resolved, not when the human is tired.
- Distinctive: line 65
Every open decision is settled by the human, settled by the agent with a stated default, or explicitly deferred with an owner and a date.
“Common” is measured: kept by at least 6 in 10 of the 33 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
Intake
Software fails in the gap between what the human meant and what the agent built. Intake closes that gap before code exists: a decision interview where the agent asks, the human answers, and every settled answer is routed to wherever it will actually be honored. Two authority rules bind the whole skill:
- The agent never answers a question that belongs to the human.
- The human is never asked a question the agent can settle. Every question arrives with a recommended default, so steering is a confirm-or-override, not an essay assignment.
The authority test
Classify before asking anything:
Human decides (taste, stakes, direction): scope cuts, priorities, effort and budget trade-offs, one-way doors (deleted data, published interface breaks), naming a domain concept, how good is good enough.
Agent decides (execution, with full context): file layout, library choice, error wording, test placement, implementation pattern. The agent holds the opinion, states it in the spec, and the human can veto it at playback.
The test: would a competent engineer with full context decide this the same way every time? Yes means the agent. Any hesitation means the human.
The gate
Run intake when at least one open decision needs a human. Skip it when the work is fully specified or trivial; interviewing for ceremony is the tax this skill exists to avoid. And never ask what memory already answers: check the repo's conventions, its commit history, and the installed skills first. A question the repo has already settled is noise, and noise trains the human to stop answering.
The interview
- One decision per question, each with a default.
- Write: "Partial refunds allowed? Default: yes, capped at the remaining refundable amount."
- Avoid: "What are your thoughts on partial refunds?" (no default, no shape)
- Walk the tree until the leaves are settled: scope in and out, definition of done, binding constraints, and the proof plan (what will demonstrate the work is done, per meaningful-tests).
- Scan for blast radius early: which existing shapes does this work touch? A touched public shape pulls in declared-breaks before the first line of code.
- Sharpen fuzzy words on sight. "Account: the Customer or the User? Those are different things." An unresolved term in the spec becomes a bug in the build.
- Stress-test with one concrete scenario per risky decision: "The order is shipped and half refunded; the customer cancels. What happens?" No answer means that is the next decision, not a detail.
- Stop when the tree is resolved, not when the human is tired. Fewer, better questions beat an interrogation.
Playback
Before any code: restate the goals, scope, settled decisions, definition of done, and proof plan in your own words. The human confirms or corrects. A correction reopens the branch it touches, not the whole interview. In a live channel, stop and wait for that confirmation. In an async channel, end the turn with the restatement and let the confirmation arrive as the next message; build past playback without a confirmation only when the human has explicitly pre-authorised it, and then mark every agent default as vetoable in the restatement. Intake is not done until playback passes; agreement you assumed is disagreement you will discover in review.
The spec
State the smallest artifact an executor agent could build from: goals, scope (in and out), the settled decisions with their whys, definition of done, and proof plan. State it where the work will read it: in the conversation when the work fits one session, in the tracker or the pull request body when it crosses sessions. Never a markdown file in the repo: a file claiming the project's current state copies what the code and the history already hold, and the copy is the part that rots. The spec is a work order, not documentation: if a sentence would not change what the executor does, cut it.
Routing decisions
A settled decision that is not routed will be revisited, and re-asking a settled question spends the trust that makes the whole loop work. Route each one inline, while it is fresh, and route it to a carrier that cannot rot: structure, a check that fails, a test, or git history. A prose file claiming the project's current state is a second copy of what the code and history already hold; it drifts, and a drifted carrier is worse than none.
- Generalizes beyond this project → propose a skill or an AGENTS.md rule.
- Constrains code → structure where possible (a type, a check that fails), else a colocated rationale per load-bearing-comments.
- Project-scoped policy → the body of the commit that implements it: one
Rejected:line naming the alternative and the why.git log --grepis then the decision ledger, and history cannot disagree with the code it produced. - Leaves live residue (deferred work, dead weight awaiting a migration) → the tracker, as an issue: staying open is correct behaviour there, and closing is a real event.
- Defines proof → a script or verification skill that reruns the check.
Routing at decision time is the one habit this skill enforces without exception.
Late decisions
Decisions arriving mid-build go through the same path in miniature: classify by authority, settle with a default, route, and return to work. If a late decision changes an existing public shape, declared-breaks applies before anything else moves.
Completion criterion
Every open decision is settled by the human, settled by the agent with a stated default, or explicitly deferred with an owner and a date. Playback has passed. The spec exists. Every settled decision is routed to its carrier. Only then does building begin.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

