agentleFS
OvichOvich/charrette/skills/alignment/interview/SKILL.md

interview

Skill14 starsChanged 4 days agoMITView on GitHub

Use when a person says "interview me" or asks to be interviewed about an idea or an existing design document (a board, a plan, a change) until it is understood the same way by them and the agent, or when another skill needs open decisions resolved one by one. Runs in chat and leaves the resolved decisions there, for the caller to write where they belong. Keeping the discussion as a document is brainstorm's, turning it into a plan is write-plan's.

94 other projects use a version of this.

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Used with

Projects with it also use fetch-library-docs, contributor and 8 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.
  • Rehan-Ul-HaqSkill

    fetch-library-docs

    Fetches official documentation for external libraries and frameworks (React, Next.js, Prisma, FastAPI, Express, Tailwind, MongoDB, etc.) with 60-90% token savings via content-type filtering. Use this skill when implementing features using library APIs, debugging library-specific errors, troubleshooting configuration issues, installing or setting up frameworks, integrating third-party packages, upgrading between library versions, or looking up correct API patterns and best practices. Triggers automatically during coding work - fetch docs before writing library code to get correct patterns, not after guessing wrong.

    Also in 4 projects that use this

  • NimbleBrainIncSkill

    contributor

    Get started contributing to NimbleBrain open source — find an integration to build, set up your environment, propose an idea, or check on your work. Use when onboarding as a contributor. Triggers include "I'm a new contributor", "what should I build", "show me open issues", "file an issue".

    Also in 3 projects that use this

  • mjunaidcaSkill

    browsing-with-playwright

    Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction. NOT when only fetching static content (use curl/wget instead).

    Also in 4 projects that use this

  • qa-amanSkill

    teach-me

    Teach a topic, video, article, codebase change, spec, or transcript until the user demonstrably understands it, using staged instruction, a running checklist doc, and quizzes. Use whenever the user says "teach me", "explain this in detail", "help me understand X", "/teach-me", "walk me through this", "I want to learn X", "understand this deeply", or pastes a YouTube URL, article, paper, PR, or spec and asks to understand it rather than summarize it. Also use when the user wants study notes or raw material from a source they are learning. Do NOT use for a quick factual lookup, a summary request, or when the user just wants the answer.

    Also in 8 projects that use this

  • trebaudSkill

    find-unknowns

    Workflow for surfacing a task's unknowns before, during, and after implementation — blind spot pass, brainstorm/prototype, interview, references, implementation plan, deviation notes, quiz. Use when starting work in an unfamiliar domain or codebase, when a task feels underspecified, when the user says "find my unknowns", "blindspot pass", "what am I missing", "help me scope this", or when a long task came back wrong.

    Also in 3 projects that use this

  • donatassimkusSkill

    offer

    Offer design, pricing strategy, and business model architecture. Invoke when asked about making an offer better, pricing a product or service, naming an offer, raising prices, generating fast cash, increasing lifetime value, finding the right customer, qualifying buyers, or designing a business model where customers pay for their own acquisition. Use when someone says their offer isn't converting, they need to charge more, they want to add bonuses or guarantees, or they need a money model for their business.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 79 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    One option, experiments: yes | no: Ask it first, with your recommendation, when the subject makes it plausible, and later the moment …

    line 24

“Common” is measured: kept by at least 6 in 10 of the 79 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Interview

The interview ends at shared understanding: the person and the agent would describe the object the same way, and every decision is agreed or deferred. Until then, keep going.

The object is a tree of decisions. Each is answered by what can be read or by the person.

Throw ideas in as you go. An option the person did not list, a consequence they did not name, a neighbouring decision the conversation points at: one line, marked as yours, beside the question it belongs to. The interview draws the person out; it also gives them something to push against.

Research every decision that rests on a claim about the world: a tool exists, it works with our versions, the industry does it this way. Read the official source, the specification, the package as published, its types and its changelog, and how reputable projects solve the same problem, from their sources. State the version read and the date. A search result or a blog is where reading starts, never where it stops.

One option, experiments: yes | no. Ask it first, with your recommendation, when the subject makes it plausible, and later the moment reading cannot settle a claim or the person doubts a tool. On a yes, read references/experiments.md. The caller stores the answer with its decisions.

Before each question, read: the code, the history, the existing documents. A question about a screen goes through the point-at skill first.

One decision per message, in tree order, a branch once its parent is agreed. What reading settles is stated with its source, and the person confirms. Where a document says one thing and the code another, the person chooses which holds. What reading leaves open is asked: the decision with what it depends on, the question in one sentence, the recommended option first and marked, each option with the trade-off that decides it, and a closing line that takes a number or a rejection of the frame. A decision left unasked is one the implementation makes silently.

The short mode, offered whenever the full interview would be skipped: three questions at most, on the decisions that change an output (kind contract) only, each with the recommendation first. Every decision it leaves unasked is closed as the agent's default, and named so.

Close in chat, once understanding is shared: every decision with its status and source. The caller decides where that goes. The caller writes decisions as rows: read references/decisions.md.

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