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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend, writing
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/elicit-requirements
What's inside
- Skill name
elicit-requirements- Description
- Structured pre-feature requirements gathering. Run before writing any new feature or API endpoint to clarify scope, acceptance criteria, and technical constraints. Produces: a Requirements Summary (Problem | Scope | Stories | Acceptance Criteria | Out of Scope | Open Questions), presented to the user for confirmation BEFORE saving to a file, so requirements can be edited before they become reference for implementation.
- License
- MIT
- Instructions
- 121 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Elicit Requirements: Structured Pre-Feature Clarification
Run this before writing any new feature to avoid scope creep, missed edge cases, and
mid-implementation discoveries that force rewrites.
## Elicitation Workflow
Work through these sections with the user. Ask grouped questions; do not ask one at a time.
---
### 1. Problem Statement
Ask:
- What problem are we solving, and for whom?
- What triggers this feature? (user action, external system push, scheduled job, webhook)
- What is the expected outcome when it works correctly?
- What is the expected behaviour when it fails?
---
### 2. User Roles and Stakeholders
Ask:
- Which user roles interact with this directly? (admin, developer, end user, external system)
- Which roles are indirectly affected? (e.g., reports they see change, notifications they receive)
- For integration features: which external system is involved? (identify from project context or ask)
---
### 3. Technical Constraints
For integration or API features, always clarify:
| Constraint | Questions |
|---|---|
| System | Which external system? |
| Direction | INBOUND (system pushes to us) or OUTBOUND (we push to system)? |
| Trigger | API call, webhook, scheduled job, file arrival? |
| Data format | JSON? XML? CSV? Other? |
| Auth | JWT? API key? mTLS? None (internal only)? |
| Error handling | Retry? Dead-letter queue? Alert? Silent fail? |
| Idempotency | Must duplicate calls be safe? |
---
### 4. Acceptance Criteria
For each piece of functionality, define:
- What HTTP endpoint (method + path) if applicable
- What the success response looks like (status code, key fields)
- What DB rows are created/updated and with which values
- What external calls are made (APIs, storage, queues)
- What happens on error (validation fail, external system down, duplicate)
Acceptance criteria must be **verifiable without human judgement**. If it says "looks good" or "works correctly" it is not an acceptance criterion.
Good: `POST /api/v1/orders returns 202 with { "jobId": "<uuid>" } and creates job row with status='PENDING'`
Bad: "The endpoint should handle the data correctly"
---
### 5. Out of Scope
Explicitly list what is NOT included in this feature to prevent scope creep:
- Which related endpoints are deferred?
- Which error scenarios are explicitly not handled yet?
- Which UI/dashboard elements are not part of this backend feature?
---
### 6. Dependencies and Ordering
- Does this feature depend on another feature being complete first?
- Does another feature depend on this being complete?
- What environment is needed to test? (running dev server, specific DB records, external system mock?)
---
## Output
After elicitation, produce a structured summary:
```markdown
## Requirements Summary: [Feature Name]
### Problem
[1-2 sentences]
### Scope
- System: [external system if applicable]
- Direction: [inbound/outbound]
- Trigger: [how it starts]
### Stories (ordered by dependency)
1. [Story 1 title]: [one-line description]
2. [Story 2 title]: [one-line description]
### Acceptance Criteria (per story)
**Story 1:**
- ...
### Out of Scope
- ...
### Open Questions
- ...
```
## Step 7: Confirmation Before Saving
After drafting the Requirements Summary, present it to the user in readable markdown and ask:
> "Does this requirements summary look complete and accurate? Should I save it?"
Do NOT save until the user confirms (yes / save / proceed / looks good). If the user wants revisions, loop back to the relevant section, update the draft, and re-present.
Only after confirmation: save the requirements to a structured markdown file the user can reference during implementation.From faizkhairi/claude-code-blueprint, MIT.
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Signals
- Stars
- 73
- Forks
- 22
- Open issues
- 4
- Last commit (this folder)
- Aug 11, 2026 (2 months ago)
- Last release
- Sep 25, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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elicit-requirements skill. Agent Mart. https://agentmart.dev/skills/faizkhairi-elicit-requirements (last updated 2026-10-24)