Intent-Driven Development

Produce useful acceptance criteria without turning specification into ceremony. Inspect available context first, expose genuine ambiguity, and choose verification methods that fit the work and its risk.

When to Activate

• User asks to clarify a feature, define acceptance criteria, or de-risk a change before implementation
• Request touches security, authentication, persistent data, migrations, external APIs, or compliance
• User wants to prepare a handoff artifact for another agent or team
• Request is ambiguous enough that the expected outcome is not yet observable or testable
• User explicitly invokes this skill with /intent-driven-development

Do not activate for trivial edits, straightforward one-line fixes, active debugging sessions, code review requests, or implementation requests whose acceptance conditions are already clear.

How It Works

1. Inspect context first — reads the repository, docs, schemas, and test infrastructure for technical facts before asking any question, while treating product/business constraints as something only the user or a product artifact can supply
2. Choose depth — selects Quick Capture (3-7 criteria, low/moderate risk) or Full Acceptance Brief (security, data, migration, cross-system changes) based on the risk profile
3. Ask minimally — only asks questions whose answers cannot be inferred and that materially change scope or behavior
4. Write observable criteria — each AC-NNN describes a starting condition, trigger, expected outcome, prohibited side effect, verification method, and priority; no vague words like "correctly" or "securely" without evidence
5. Proceed or hand off — for clear requests with no blocking risks, records criteria and continues; for risky changes, presents blockers and waits for confirmation
6. Handle revision — if an AC fails mid-implementation due to architectural constraints, marks it [revised], updates scope or verification method, increments the revision number, and re-presents only the changed criteria

Examples

Quick Capture — "Add CSV export to the dashboard"

Goal: Authenticated users can download dashboard data as a CSV file.
In scope: Export of currently filtered rows; filename includes date.
Out of scope: Scheduled exports, email delivery, Excel format.
Assumptions: Max row count is under 10k; no PII in exported fields.

AC-001: Export generates file with correct headers
- Scenario: authenticated user, at least one data row visible
- Action: click "Export CSV"
- Expected: browser downloads file with columns [id, name, created_at]
- Must not: expose internal fields or rows belonging to other users
- Verification: automated integration test + manual schema spot-check
- Priority: Required

Full Acceptance Brief trigger — "Migrate user auth to OAuth"

Auth change + external dependency + existing session data → Full Brief with Risk Review table, blocking decisions on session invalidation strategy, and explicit rollback AC.

Existing spec review — user pastes a PRD

Skill reviews it for missing scope boundaries, unverifiable requirements ("the system shall be fast"), and silent assumptions, then returns corrected or supplemental criteria without restarting discovery.

Operating Rules

1. Inspect the available repository, documentation, issue, design, and test context before asking for technical facts that can be discovered locally.
2. Do not infer product or business constraints from code. Business rules, compliance and regulatory obligations, contractual SLAs, pricing, data-retention policy, prioritization, and target users cannot be read from a repository. Treat them as unknown until the user supplies them or an authoritative product artifact (PRD, contract, policy document) states them. Record them as assumptions flagged for confirmation, never as discovered facts. The

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