MCPInstall

context-builder

Generate interactive AI transformation context-builder prompts for consulting clients. Use when creating structured discovery session prompts that guide a company through context gathering about their business, pain points, tech stack, and AI opportunities. Produces a resumable, multi-section prompt with Express/Deep Dive modes.

Installs
220
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/glebis/claude-skills --skill context-builder
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads context-builder automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Context Builder

Generate interactive context-building prompts for consulting clients. These prompts are designed to be run in Claude Code -- they guide a team through structured questions using AskUserQuestion, generate output files per section, and compile everything into a reusable CLAUDE.md.

Workflow

Phase 1: Intake (AskUserQuestion)

Ask all intake questions using AskUserQuestion with closed-list options. Gather:

Question 1: Company identifier

  • Options: "I have a website URL", "I have a company name", "I have both"
  • Follow up to get the actual URL/name

Question 2: Who will use this prompt?

  • Options: "Specific person (name + role)", "A team (no specific person)", "Unknown / TBD"
  • If specific person: follow up for name and role

Question 3: Primary consulting focus (multiSelect)

  • "AI automation of current operations"
  • "Existential strategy (what survives AI)"
  • "New business models / pivots"
  • "Product development with AI"

Question 4: Industry

  • "Marketing / Advertising"
  • "Manufacturing / Construction"
  • "SaaS / Software"
  • "Professional Services / Consulting"
  • (Other)

Question 5: Existing context in vault?

  • "Yes, there's a call transcript"
  • "Yes, there are notes/files"
  • "No existing context"
  • If yes: ask for filename or search term to locate it

Question 6: Session language

  • "Russian (questions in Russian, output in English)"
  • "English throughout"
  • "Other"

Phase 2: Research (automated)

Run these research steps in parallel where possible:

  1. Web research: Use WebSearch and WebFetch (via Task agent) to gather:

    • What the company does, products/services
    • Target market, company size, geography
    • Tech stack, partnerships
    • Recent news, funding, team info
    • Competitive landscape
  2. Vault search: Search the Obsidian vault for:

    • Transcripts mentioning the company name (Grep in vault root and Daily/)
    • People files for contacts at the company (People/ folder)
    • Any existing notes or research
  3. Transcript analysis (if found): Extract from call transcripts:

    • Team members and their roles
    • Current AI tool usage
    • Pain points and concerns mentioned
    • Specific processes described
    • Questions raised by the team

Phase 3: Section Selection (AskUserQuestion)

Present a curated set of sections based on the consulting focus. Use AskUserQuestion with multiSelect to let the user pick which sections to include.

Section Library

Draw from references/section-library.md for the full section catalog. Default section sets by focus:

AI Automation focus:

  1. Process Inventory, 2. Pain Points & Waste, 3. Current Tech Stack, 4. AI Opportunity Mapping, 5. People & Org, 6. Data Reality Check, 7. Quick Wins

Existential Strategy focus:

  1. Revenue & Service Map, 2. The Existential Question, 3. Client Value Chain, 4. New Business Models, 5. Data & Knowledge Assets, 6. People & Org, 7. Quick Wins & Pilots

Full Assessment (both): All 10 sections from the library.

After section selection, ask:

Express mode grouping: Present a suggested grouping of selected sections into 4 Express mega-sections. Let user confirm or adjust.

Phase 4: Generation

Generate two files:

1. The Context-Builder Prompt

Save to: Claude-Drafts/{company-slug}-context-prompt.md

Structure (follow the template in references/prompt-template.md):

---
created_date: '[[YYYYMMDD]]'
type: draft
topic: consulting, AI transformation, {industry}
for: {contact person or team name}
---

# AI Transformation Context Builder -- {Company Name}

## About {Company}
  [Generated from research -- company description, size, market, positioning]

## Current State
  **What's working:** [from research + transcript]
  **The gap:** [from research + transcript]
  [If existential concerns found: **Existential context:**]

## Mode Selection
  [Express vs Deep Dive with section descriptions]

## How This Works
  [Standard interactive session instructions]

## Session Resumability
  [Standard resumability logic]

## Interactive Flow
  [Selected sections with tailored questions]

## Output Files
  [One file per section + final CLAUDE.md]

## Relevant Frameworks
  [Selected from references/frameworks.md based on focus]

2. Instruction File (optional)

If the prompt will be sent to someone external, generate a short instruction file: Claude-Drafts/{company-slug}-context-instructions.md

Containing:

  • What this file is and how to use it
  • Prerequisites (Claude Code or similar)
  • The two modes explained simply
  • What they'll get on output
  • Privacy note (they can share as much or as little as they want)

Phase 5: Delivery (AskUserQuestion)

Question: What to do with the generated files?

  • "Save to vault only"
  • "Save and send via Telegram"
  • "Save and let me review first"

If Telegram: ask for the recipient handle/name, then send using the telegram skill (intro message + file).

Key Principles

  • Maximize closed-list questions: Every AskUserQuestion should have concrete options. Minimize free-text input.
  • Research before asking: Don't ask the user things that can be found via web search or vault search.
  • Tailor sections to context: If the transcript reveals specific concerns (e.g., existential fears, specific tech stack), customize the section questions to reference those specifics.
  • Bake in discovered context: The generated prompt's "About" and "Current State" sections should be rich with researched details so the person running the prompt gets a warm start.
  • Language awareness: If session language is Russian, all AskUserQuestion interactions during prompt execution should be in Russian, but output files in English.

Resources

references/

  • section-library.md -- Full catalog of available sections with question templates
  • prompt-template.md -- Structural template for the generated prompt
  • frameworks.md -- Consulting frameworks to selectively include

FAQ

What does the context-builder skill do?

Generate interactive AI transformation context-builder prompts for consulting clients. Use when creating structured discovery session prompts that guide a company through context gathering about their business, pain points, tech stack, and AI opportunities. Produces a resumable, multi-section prompt with Express/Deep Dive modes.

How do I install context-builder?

Run npx skills add https://github.com/glebis/claude-skills --skill context-builder in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/context-builder/ (personal) or .claude/skills/context-builder/ (project).

Which AI agents can use context-builder?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is context-builder safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains context-builder?

It is published by glebis in glebis/claude-skills. It has 220 recorded installs.

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