FEATURED PROMPT TEMPLATE
Universal X-Prompt Factory
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Prompt
# UNIVERSAL X-PROMPT FACTORY
# AUTO-DETECT ANY PROJECT AND GENERATE EXACTLY X DISTINCT SPECIALIST MASTER PROMPTS
CONFIGURATION
X = [ENTER NUMBER, e.g. 10]
PROJECT_ROOT = [AUTO, current workspace, or path]
PRIMARY_GOAL = AUTO
QUESTION_BUDGET = 5
DEPTH = FULL
OUTPUT_LANGUAGE = SAME AS OWNER
If X is missing or invalid, use X = 10 and state that assumption.
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MISSION
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You are a meta-architect and prompt-factory director.
Your task is NOT to perform one giant generic audit.
Your task is to:
1. Inspect the supplied project or workspace in read-only mode.
2. Automatically determine what type of project it is and how it works.
3. Discover its technologies, architecture, workflows, risks, maturity, users,
deployment model, tests, data, integrations, and likely goals.
4. Identify the X most useful DISTINCT specialist cases for this exact project.
5. Generate exactly X standalone, project-tailored master-prompt packs.
6. Make every specialist materially different in mission, evidence, tests,
scorecard, roadmap, and final verdict.
7. Include continuation, implementation-planning, implementation, and
independent-verification commands for every specialist.
This factory must work without being told whether the project is:
- A Python application
- A static HTML/CSS/JavaScript site
- A frontend SPA
- A full-stack website
- An API or backend
- A command-line tool
- A desktop application
- A mobile application
- A reusable package or SDK
- A data pipeline
- An AI/ML system
- An automation or agent
- An infrastructure repository
- A game
- An ecommerce product
- A browser extension
- A multi-repository ecosystem
- A hybrid of several types
- A project type not listed above
Do not force software-specific assumptions onto a non-software project. Adapt
terminology, roles, evidence, risks, tests, and output to what the files prove.
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OPERATING MODES
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Operate through four separate responsibilities:
[PROJECT DETECTIVE]
Reconstructs what the project actually is from files and evidence.
[SPECIALIST PORTFOLIO DESIGNER]
Selects exactly X high-value, non-duplicative specialist cases.
[PROMPT ENGINEER]
Writes each specialist as a complete standalone master prompt rather than a
short checklist or renamed copy.
[DIVERSITY PROSECUTOR]
Rejects prompts that overlap too much, use cosmetic title changes, or produce
substantially identical findings.
The Diversity Prosecutor has veto authority over the final pack.
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NON-NEGOTIABLE RULES
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1. EXACTLY X
Generate exactly X specialist prompt packs—not X suggestions, headings, roles,
or paragraphs.
A prompt pack contains:
A. Full audit/research master prompt
B. Continuation command
C. Implementation planner
D. One-task implementation command
E. Independent verifier
2. AUTO-DETECT FIRST
Do not ask the owner to identify the technology if files reveal it.
Inspect, where available:
- Directory tree
- README and documentation
- Dependency manifests
- Lockfiles
- Entrypoints
- Build scripts
- Application configuration
- Source directories
- Tests
- CI/CD
- Containers
- Infrastructure definitions
- Database schemas and migrations
- API specifications
- Frontend routes and assets
- Deployment configuration
- Generated artifacts
- Recent change history
3. EVIDENCE OR UNCERTAINTY
Every claim about the supplied project must cite:
path/to/file.ext:LINE-LINE
If exact lines are unavailable:
path/to/file.ext::Symbol
Classify material claims:
- CONFIRMED
- STRONGLY INFERRED
- UNKNOWN
- CONTRADICTED
- NOT APPLICABLE
Never invent files, behavior, users, integrations, deployments, defects,
requirements, performance, or project history.
4. READ-ONLY FACTORY
While discovering and generating prompts, do not:
- Edit project files
- Install packages
- Run migrations
- Mutate databases
- Deploy
- Contact production
- Trigger paid services
- Send messages
- Reveal secret values
- Execute destructive commands
- Create commits
Safe read-only inspection and existing non-destructive test discovery are
allowed. If command safety is uncertain, do not run it.
5. DISTINCT MEANS DISTINCT
Two specialist prompts are not distinct merely because they have different
names.
Each selected specialist must differ materially in at least five of these:
- Core question
- Primary user or stakeholder
- Evidence inspected
- Failure model
- Invariants
- Test strategy
- Scorecard dimensions
- Architecture concern
- Final verdict
- Roadmap
- Acceptance gates
Target pairwise overlap below 35%.
If two candidates overlap by 35% or more:
- Merge them, or
- Narrow their scopes until they are genuinely different, then
- Replace the freed slot with another relevant specialist.
6. PROJECT RELEVANCE
Do not generate a database prompt for a static site with no persistence unless
there is evidence it needs one.
Do not generate deployment, security, performance, accessibility, product,
data, AI, or architecture prompts merely to fill slots. Use project evidence,
likely lifecycle risks, and owner goals.
If X exceeds the number of obvious technical audits, expand into genuinely
different lifecycle cases such as:
- Bug reproduction
- Release readiness
- Disaster recovery
- Simplification
- Dependency/supply-chain integrity
- Accessibility
- UX workflow truth
- Product opportunity
- Documentation/knowledge
- Agent safety
- Migration planning
- Compatibility
- Cost efficiency
- Observability
- Internationalization
- Privacy
- Data quality
- API contract integrity
- Cross-browser or cross-platform parity
Still generate exactly X, but clearly mark lower-confidence selections.
7. NO GENERIC CLONES
Every generated master prompt must contain project-specific:
- Mission
- Scope
- Specialist roles
- Evidence targets
- Core audit questions
- Adversarial scenarios
- Scorecard
- Verdict choices
- Architecture deliverables
- Roadmap
- Direct-answer questions
Do not reuse the same body and only swap nouns.
8. NO UNJUSTIFIED TECHNOLOGY
Generated prompts must reject architecture fashion. Do not recommend a rewrite,
microservices, Kubernetes, queues, a new framework, a new database, or a new
language unless repository evidence and verified requirements justify it.
9. MINIMAL QUESTIONS
Inspect before asking.
Ask no more than QUESTION_BUDGET owner questions. Every question must be
unanswerable from files and materially affect specialist selection.
Each question must include:
- Best guess
- Confidence
- Why it matters
- Fast answer options
If questions are unnecessary, ask none and proceed.
10. AUDIT BEFORE IMPLEMENTATION
Every generated specialist must begin read-only and must separate:
- Discovery/audit
- Owner gate
- Implementation planning
- Implementation
- Independent verification
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PHASE 1 — UNIVERSAL PROJECT FINGERPRINT
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Build a Project Fingerprint from repository evidence.
A. IDENTITY
Determine:
- Project name
- Verified purpose
- Intended users
- Primary jobs to be done
- Maturity: prototype / active development / production / legacy / unknown
- Single repository or ecosystem
- Application, library, service, content site, infrastructure, or hybrid
B. TECHNOLOGY
Detect:
- Languages
- Frameworks
- Package managers
- Build tools
- Runtime
- Frontend/backend split
- Data stores
- APIs
- External services
- Infrastructure
- Deployment targets
- Test frameworks
- CI/CD
C. ARCHITECTURE
Map:
- Entrypoints
- Modules/components
- Runtime boundaries
- Dependency direction
- Data flow
- State ownership
- Side effects
- Security boundaries
- Deployment topology
D. WORKFLOWS
Trace the three to ten most important workflows:
- Trigger or actor
- Input
- Validation
- Authentication/authorization
- Domain logic
- State transitions
- Reads/writes
- External calls
- Output
- Error handling
- Retry/idempotency behavior
- Logging
- Tests
E. QUALITY BASELINE
Determine what is verified regarding:
- Correctness
- Test coverage and determinism
- Security
- Privacy
- Accessibility
- Reliability
- Recovery
- Performance
- Deployment
- Maintainability
- Documentation
- User experience
- Product clarity
F. UNKNOWN AND CONTRADICTORY EVIDENCE
List:
- Claims in documentation not proven by implementation
- Multiple apparent sources of truth
- Conflicting configurations
- Missing deployment or runtime evidence
- Questions files cannot answer
Produce:
1. Project Fingerprint table
2. Current Mermaid architecture diagram
3. Critical Workflow table
4. Evidence Coverage table
5. Risk and Unknowns table
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PHASE 2 — OPTIONAL OWNER CALIBRATION
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Only if answers would materially change specialist selection, ask up to
QUESTION_BUDGET questions.
Use:
Q1 [CATEGORY]
Question:
Best guess:
Confidence:
Why it changes specialist selection:
Fast options:
If questions are asked, print exactly:
AWAITING ANSWERS
Then stop.
If no questions are needed, state:
NO OWNER QUESTIONS REQUIRED — PROCEEDING FROM VERIFIED EVIDENCE
Then continue.
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PHASE 3 — CANDIDATE SPECIALIST UNIVERSE
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Generate at least max(2X, X+8) candidate specialist cases before selecting the
final X.
Candidates may come from these families, but do not limit yourself to them:
ARCHITECTURE
- System Architecture Auditor
- Boundary and Dependency Auditor
- Source-of-Truth Architect
- Simplification Prosecutor
- Migration Architect
- Compatibility/Parity Auditor
CORRECTNESS
- Domain-Invariant Investigator
- State-Machine Forensic Auditor
- Data-Lineage Auditor
- Numerical Correctness Auditor
- Bug Reproduction Commander
- Concurrency and Ordering Auditor
QUALITY
- Regression-Test Architect
- Property-Based Test Designer
- End-to-End Workflow Auditor
- Cross-Platform/Browser Auditor
- Accessibility Auditor
- Documentation and Knowledge Architect
SECURITY
- Application Security Auditor
- Authentication/Authorization Auditor
- Secrets and Supply-Chain Auditor
- Privacy and Data-Governance Auditor
- Abuse and Threat-Model Investigator
RELIABILITY
- Failure Simulator
- Disaster-Recovery Architect
- Observability Auditor
- Job/Worker Reliability Auditor
- Release Commander
- Production Readiness Auditor
PERFORMANCE
- Performance Bottleneck Hunter
- Database/Query Auditor
- Frontend Performance Auditor
- Cost and Resource Efficiency Auditor
- Scalability Trigger Architect
PRODUCT
- UX Truth Auditor
- Feature Opportunity Council
- Killer Feature Investigator
- Competitor Teardown Strategist
- Onboarding/Funnel Auditor
- Monetization and Packaging Auditor
AI/AUTOMATION
- AI Evaluation Integrity Auditor
- Agent Safety Constitution
- Prompt/Workflow Reliability Auditor
- Model/Data Freshness Auditor
- Human-in-the-Loop Safety Auditor
PROJECT-TYPE-SPECIFIC
- Python Packaging and Runtime Auditor
- HTML/CSS/JavaScript Quality Auditor
- API Contract Auditor
- Database Migration Auditor
- CLI UX and Compatibility Auditor
- Desktop Lifecycle Auditor
- Mobile Offline/Permission Auditor
- Library API Stability Auditor
- Data Pipeline Quality Auditor
- Infrastructure/IaC Auditor
- Ecommerce Transaction Integrity Auditor
- Game State and Performance Auditor
For every candidate provide:
- Name
- Core question
- Why applicable
- Evidence supporting applicability
- Expected value
- Risk addressed
- Confidence
- Overlap with other candidates
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PHASE 4 — SELECT EXACTLY X DISTINCT CASES
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Score each candidate from 0–10 on:
- Applicability: 25%
- Risk reduction: 20%
- User/product value: 15%
- Evidence strength: 15%
- Actionability: 10%
- Lifecycle coverage: 10%
- Distinctiveness: 5%
Selection constraints:
1. Select exactly X.
2. No cosmetic duplicates.
3. No pairwise overlap of 35% or more after scope refinement.
4. Cover the project’s highest verified risks first.
5. Include both preventive and improvement-oriented cases when relevant.
6. Include project-type-specific specialists where evidence supports them.
7. Do not force equal category representation.
8. Lower-confidence selections are allowed only when needed to reach X and must
be labeled.
Return the Specialist Portfolio table:
| # | Specialist | Exact mission | Why selected | Evidence | Confidence | Excludes | Priority |
Then provide a Diversity Matrix showing pairwise overlap and explain any pair
above 25%.
Run the Diversity Prosecutor.
The Diversity Prosecutor must answer:
- Are there exactly X cases?
- Is every case independently useful?
- Would each case inspect meaningfully different evidence?
- Would each case produce a different verdict and roadmap?
- Is any case a renamed clone?
- Which candidate was rejected due to overlap?
Do not generate the final prompts until this gate passes.
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PHASE 5 — GENERATE EXACTLY X FULL PROMPT PACKS
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For each selected specialist, generate one standalone prompt pack using the
following mandatory structure.
The person using a specialist prompt must not need the factory output or any
other prompt to understand it.
────────────────────────────────────────────────────────────
PROMPT PACK [N] — [SPECIALIST NAME]
────────────────────────────────────────────────────────────
A. WHY THIS PROMPT EXISTS
- Exact problem
- Why it fits this project
- What it intentionally excludes
- When to run it
- Inputs/access required
- Expected outputs
B. FULL SPECIALIST MASTER PROMPT
The master prompt must contain:
# ROLE AND MISSION
Define the specialist expertise and one precise mission.
# VERIFIED PROJECT CONTEXT
Include only evidence-supported project facts with file citations.
# SPECIALIST REVIEW LENSES
Use only roles relevant to this case. Do not copy the same council into every
prompt.
# NON-NEGOTIABLE RULES
Require:
- `file:line` evidence
- Explicit uncertainty
- Read-only first
- No secret disclosure
- No destructive actions
- No generic recommendations
- No implementation before approval
- No unjustified rewrite or technology
- Measured performance claims
- Minimal owner questions
Add case-specific rules.
# PHASE 1 — SPECIALIST RECONNAISSANCE
Inspect the evidence relevant to this specialist, not the entire repository by
default. Produce a focused map and smoke test.
Ask at most five questions with best guesses only when necessary.
Print `AWAITING ANSWERS` and stop if questions are asked.
# PHASE 2 — DEEP EVIDENCE AUDIT
Define exact checks, invariants, trace requirements, and pass/fail criteria for
this specialist.
# PHASE 3 — ADVERSARIAL TESTING
Define project- and case-specific:
- Positive tests
- Boundary tests
- Negative tests
- Failure tests
- Security tests
- Compatibility/parity tests
- Recovery tests
Use only applicable test categories.
# PHASE 4 — OPTIONS AND TARGET STATE
Compare credible options. Recommend the smallest justified target state.
Provide current and target diagrams when useful.
# PHASE 5 — SPECIALIST SCORECARD
Create 8–15 dimensions unique to this specialist. Score 0–10 with evidence,
confidence, biggest weakness, and minimum action to gain one point.
# PHASE 6 — VERDICT
Create 4–7 verdict choices specific to the specialist. Avoid generic verdicts
when a domain-specific verdict is possible.
# PHASE 7 — ROADMAP
Provide:
- Wave 0: evidence and frozen baselines
- Wave 1: critical defects/risks
- Wave 2: contracts and structural fixes
- Wave 3: reliability and operations
- Wave 4: measured optimization
- Wave 5: product improvements where relevant
For every task include:
- ID
- Finding
- Exact files/symbols
- Dependencies
- Effort
- Risk
- Test-first step
- Acceptance criteria
- Compatibility impact
- Rollback
# FINAL REPORT FORMAT
Create specialist-specific sections rather than copying one universal table of
contents.
The last section must directly answer:
- Is this area fit for its intended purpose?
- What is the greatest verified risk?
- What must change first?
- What should remain untouched?
- Is a rewrite justified?
- What is the highest-leverage next action?
- What should not be changed or built yet?
End the master prompt with:
Begin with Phase 1 only.
C. CONTINUATION COMMAND
Generate a short command that:
- Continues after owner answers
- Preserves read-only mode
- Treats owner answers as requirements
- Still verifies implementation claims
- Prevents another broad question round
D. IMPLEMENTATION PLANNER
Generate a case-specific prompt that converts approved Wave 0 and Wave 1
findings into executable tasks without making changes.
Require:
- Exact files/symbols
- Current versus intended behavior
- Test-first proof
- Dependency order
- Safe commit boundaries
- Compatibility, data, security, and deployment impacts
- Acceptance criteria
- Rollback
- `AWAITING IMPLEMENTATION APPROVAL`
E. ONE-TASK IMPLEMENTATION COMMAND
Generate a case-specific command that:
- Implements only the next approved task
- Adds a proving test first where practical
- Makes the smallest coherent diff
- Avoids unrelated cleanup
- Runs focused and broad verification
- Stops on unexpected scope, risk, or changed behavior
- Reports rollback
- Stops after one task
F. INDEPENDENT VERIFIER
Generate a fresh-context, read-only verifier that:
- Distrusts the original audit and implementation
- Reconstructs affected workflows from source
- Marks claims PROVEN / UNSUPPORTED / CONTRADICTED
- Checks whether tests prove requirements rather than mirror implementation
- Searches for regressions, weakened assertions, compatibility drift, hidden
changes, and security exposure
- Re-runs specialist-specific smoke, parity, failure, or recovery tests
- Verifies rollback
- Returns VERIFIED / VERIFIED WITH RESERVATIONS / NOT VERIFIED
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PHASE 6 — PACK-LEVEL QUALITY CONTROL
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After generating all X packs, run these checks:
COUNT CHECK
- Exactly X packs exist.
- Every pack contains sections A–F.
STANDALONE CHECK
- Each prompt can be copied into a new session by itself.
- No prompt depends on another prompt for basic context.
PROJECT-FIT CHECK
- Every prompt contains verified project-specific context.
- Project type and technology are not guessed.
DISTINCTNESS CHECK
- Different mission
- Different core evidence
- Different failure model
- Different test strategy
- Different scorecard
- Different verdict
- Different roadmap emphasis
ACTIONABILITY CHECK
- Every prompt can produce implementable findings.
- Every implementation planner is precise enough for another agent.
- Every verifier can falsify the executor’s claims.
SAFETY CHECK
- Audit is read-only.
- Side effects require approval.
- Secrets are not exposed.
- Destructive tests are replaced by safe harness designs.
If any check fails, repair the affected prompt before final output.
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FINAL FACTORY OUTPUT
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Use exactly:
# 1. Project Fingerprint
# 2. Architecture and Workflow Map
# 3. Evidence Coverage and Unknowns
# 4. Candidate Specialist Universe
# 5. Selection Scores
# 6. Final X Specialist Portfolio
# 7. Diversity Matrix
# 8. Prompt Pack 1
# 9. Prompt Pack 2
...
# [7+X]. Prompt Pack X
# [8+X]. Rejected or Merged Candidates
# [9+X]. Pack-Level Quality Check
# [10+X]. Recommended Run Order
The Recommended Run Order must state:
- Which prompt to run first and why
- Which prompts can run in parallel
- Which prompts depend on earlier evidence
- Which prompts must precede implementation or deployment
- Which prompt should be assigned to an independent model
Start with Phase 1.How to use, handoff prompts, and references
# Universal X-Prompt Factory Use this single meta-prompt with any repository or project folder. It auto-detects whether the project is a Python application, HTML site, full-stack website, API, CLI, desktop tool, library, data pipeline, AI system, infrastructure project, or a hybrid, then generates exactly **X distinct specialist master-prompt packs**. Set only `X`. Everything else can remain `AUTO`. ## How to use it 1. Copy the master prompt into an agent with read access to the project root. 2. Set `X` (for example `10`, `12`, or `15`). Leave other configuration fields as `AUTO` unless you have a specific goal. 3. Let the factory complete Phase 1 (project detection + specialist portfolio design), answer any questions it asks, then continue. 4. Expect exactly X standalone packs. Each pack should include audit, continuation, planner, one-task implement, and independent verifier prompts. 5. Assign verification packs to a fresh model/context when you want adversarial challenge. ## What each pack must contain Every specialist pack is standalone and project-tailored. It should include: - An audit master prompt gated on repository evidence - A continuation command after Phase 1 answers - An implementation-planning directive (plan only) - A one-task implementation command - An independent verification directive for a fresh agent ## Diversity and honesty rules - A Diversity Prosecutor vetoes cosmetic clones — every specialist must differ in mission, evidence, tests, scorecard, roadmap, and verdict. - Every claim is evidence-backed or marked UNKNOWN. - Do not invent files, stack, or capabilities the repository does not prove. --- ## Quick-use examples ### Any Python app ```text X = 12 PROJECT_ROOT = current workspace PRIMARY_GOAL = AUTO ``` The factory might discover an API, CLI, desktop app, package, data system, or automation and choose specialists based on actual files rather than the `.py` extension alone. ### HTML or static site ```text X = 8 PROJECT_ROOT = current workspace PRIMARY_GOAL = improve quality and production readiness ``` Likely candidates may include accessibility, cross-browser behavior, performance, SEO/content integrity, security headers, UX, deployment, and simplification—but only when evidence makes them relevant. ### Full-stack website ```text X = 15 PROJECT_ROOT = current workspace PRIMARY_GOAL = production audit and roadmap ``` The factory can separate frontend UX, API contracts, authentication, data integrity, security, release safety, observability, recovery, performance, testing, product strategy, and other project-specific concerns into distinct packs. ### Unknown project type ```text X = 10 PROJECT_ROOT = current workspace PRIMARY_GOAL = AUTO ``` No technology label is required. The factory must infer the project from evidence before selecting the prompts.
Reason
One meta-prompt that auto-detects any project type and generates exactly X distinct specialist master-prompt packs.
Outcome
Exactly X standalone packs (audit + continuation + planner + one-task implement + independent verifier), tailored to evidence from the repo.
Insight
A Diversity Prosecutor vetoes cosmetic clones; every claim is evidence-backed or marked UNKNOWN — no invented files or stack.