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prompt-refiner

Refine rough prompts into structured, high-quality prompts. Use this skill when the user has a vague request and wants to turn it into a well-structured prompt with clear objectives, constraints, and acceptance criteria. Triggers include "refine this prompt", "make this prompt better", "structure this request", or "help me write a better prompt".

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AzureAD/android-complete
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يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
prompt-refiner
description
Refine rough prompts into structured, high-quality prompts. Use this skill when the user has a vague request and wants to turn it into a well-structured prompt with clear objectives, constraints, and acceptance criteria. Triggers include "refine this prompt", "make this prompt better", "structure this request", or "help me write a better prompt".
# Prompt Refiner Transform rough, vague prompts into structured prompts that produce accurate, actionable results. ## References Use these templates in the `references/` folder based on task type: - **[template-exploration.md](references/template-exploration.md)** - Understanding code, finding implementations, tracing flows - **[template-feature.md](references/template-feature.md)** - Implementing new functionality, adding screens - **[template-bugfix.md](references/template-bugfix.md)** - Investigating and fixing bugs, crashes - **[template-telemetry.md](references/template-telemetry.md)** - Adding logging, events, instrumentation ## Why This Matters Vague prompts lead to: - Hallucinated file names and patterns - Generic advice instead of specific guidance - Missing validation steps - Wasted iteration cycles Structured prompts lead to: - Grounded responses with file paths and evidence - Actionable next steps - Built-in validation checkpoints - Faster time-to-value ## Refinement Workflow ### Step 1: Analyze the Rough Prompt Identify what's missing: - **Objective**: What is the actual goal? (Often buried or implied) - **Scope**: What's in/out of bounds? - **Constraints**: What rules must be followed? - **Evidence requirements**: Should responses cite files/code? - **Validation**: How will we know if the answer is correct? ### Step 2: Ask Clarifying Questions (if needed) Before refining, ask the user 2-3 targeted questions: - "Is this for new code or modifying existing code?" - "Should this be behind a feature flag?" - "What's the risk level? (experimental vs production-critical)" - "Are there existing patterns in the codebase I should follow?" ### Step 3: Generate the Refined Prompt Use this template structure: ```markdown ## Objective [One clear sentence describing the goal] ## Context [Brief background if needed - what problem this solves, why now] ## Constraints - [Hard rule 1 - e.g., "Only reference files that exist in the repo"] - [Hard rule 2 - e.g., "Do not modify existing public APIs"] - [Hard rule 3 - e.g., "Must be behind a feature flag"] ## Scope **In scope:** - [What should be addressed] **Out of scope:** - [What should NOT be addressed] ## Acceptance Criteria - [ ] [Specific, verifiable criterion 1] - [ ] [Specific, verifiable criterion 2] - [ ] [Validation step - e.g., "Compile check passes"] ## Output Format [Specify what the response should look like - file paths, code snippets, plan, etc.] ``` ### Step 4: Add Domain-Specific Constraints Based on the task type, add relevant constraints: **For code exploration/understanding:** - "Provide file paths and line numbers for all references" - "Do not guess patterns—search the codebase first" - "Show the call flow with actual function names" **For new feature implementation:** - "Wrap new functionality behind ExperimentationFeatureFlag" - "Follow existing patterns in [similar feature area]" - "Include unit test recommendations" **For bug fixes:** - "Identify root cause before proposing fix" - "List potential regression risks" - "Include validation steps to confirm fix" **For refactoring:** - "No behavioral changes—preserve existing functionality" - "Show before/after for each change" - "Ensure all existing tests still pass" **For telemetry/logging:** - "No PII in any logged fields" - "Include local validation approach" - "Specify sampling/flag configuration" ## Output Format When refining a prompt, provide: 1. **The refined prompt** (ready to copy/paste) 2. **What was added** (brief explanation of key improvements) 3. **Suggested follow-ups** (what to ask next after getting results) ## Examples ### Example 1: Code Exploration **Rough prompt:** > "Where is authentication handled in this app?" **Refined prompt:** ```markdown ## Objective Identify the entry points and core components responsible for authentication in this codebase. ## Constraints - Only reference files that exist in the repo (provide file paths) - Focus on the primary authentication flow, not edge cases - Do not guess—search for actual implementations ## Acceptance Criteria - [ ] Entry point(s) identified with file paths - [ ] Key classes/functions listed with their responsibilities - [ ] Call flow documented (what calls what) - [ ] Links to relevant configuration files ## Output Format Provide a brief architecture overview with file paths, then a numbered call flow. ``` **What was added:** Evidence requirements (file paths), scope limitation (primary flow), specific output format. --- ### Example 2: New Feature **Rough prompt:** > "Add a retry mechanism for failed API calls" **Refined prompt:** ```markdown ## Objective Implement a retry mechanism for failed API calls with configurable retry count and backoff. ## Context Some API calls fail transiently due to network issues. We need automatic retry with exponential backoff. ## Constraints - Use existing HTTP client infrastructure (do not add new libraries) - Wrap behind ExperimentationFeatureFlag.API_RETRY - Only retry on transient errors (5xx, timeout), not client errors (4xx) - Maximum 3 retries with exponential backoff (1s, 2s, 4s) ## Scope **In scope:** Core retry logic, configuration, integration with existing client **Out of scope:** UI changes, offline handling, request queuing ## Acceptance Criteria - [ ] Retry logic implemented with configurable count - [ ] Exponential backoff with jitter - [ ] Feature flag integration - [ ] Unit tests for retry scenarios (success after retry, max retries exceeded) - [ ] Compile check passes: `.\gradlew app:compileProductionDebugKotlin` ## Output Format 1. Implementation plan (which files to modify) 2. Code changes with file paths 3. Test cases to add ``` **What was added:** Specific behavior (which errors to retry), constraints (feature flag, no new libs), concrete acceptance criteria. --- ### Example 3: Telemetry **Rough prompt:** > "Add logging for the sign-in flow" **Refined prompt:** ```markdown ## Objective Add telemetry events to track sign-in flow success, failure, and duration. ## Constraints - **No PII**: Do not log email, username, phone, device ID, or tokens - Use existing telemetry service (SharedCoreLibrary logging) - Events must be behind a feature flag or sampling config - Each event must answer a specific business question ## Event Requirements For each event, define: - Event name (namespaced: `signin_*`) - Purpose (what question does this answer?) - Fields (name, type, example, PII risk) - Trigger condition ## Acceptance Criteria - [ ] 2-3 events defined with full schema - [ ] Logging points identified (file paths + function names) - [ ] Local validation approach documented - [ ] No PII in any field - [ ] Feature flag specified ## Output Format Event table, then implementation locations, then validation steps. ``` **What was added:** Explicit PII prohibition, schema requirements, validation approach. ## Anti-Patterns to Avoid When refining prompts, watch for and fix these issues: | Anti-Pattern | Problem | Fix | |--------------|---------|-----| | "Make it good" | Subjective, unmeasurable | Add specific acceptance criteria | | "Handle all cases" | Unbounded scope | Define in-scope vs out-of-scope | | "Like other apps do" | Relies on assumptions | Reference specific patterns in THIS codebase | | "ASAP" | Pressure without clarity | Define actual priority and constraints | | No validation step | Can't verify correctness | Add "how do we know it's right?" | ## Quick Reference: Constraint Templates Copy-paste these common constraints as needed: **Evidence-based responses:** ``` - Only reference files that exist in the repo (provide file paths + line numbers) - Do not guess patterns—search the codebase first - Show actual code/config, not hypothetical examples ``` **Safe implementation:** ``` - Wrap new functionality behind ExperimentationFeatureFlag.[FLAG_NAME] - No breaking changes to existing public APIs - Follow existing patterns in [similar area of codebase] ``` **Privacy/security:** ``` - No PII in logs (email, phone, name, device ID, tokens) - No hardcoded secrets or credentials - Use SecureKeystoreLibrary for sensitive storage ``` **Validation:** ``` - Compile check: `.\gradlew [module]:compileProductionDebugKotlin` - Existing tests pass: `.\gradlew [module]:test` - Manual verification steps documented ```
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