DNYoussef /============================================================================/ /* PROMPT-FORGE SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/
name: prompt-forge version: 2.0.1 description: | [assert|neutral] Meta-prompt that generates improved prompts and templates. Can improve other prompts including Skill Forge and even itself. All improvements are gated by frozen eval harness. Use when optimizing promp [ground:given] [conf:0.95] [state:confirmed] category: foundry tags:
- meta-prompt
- self-improvement
- recursive
- dogfooding
- cognitive-frames author: system cognitive_frame: primary: compositional goal_analysis: first_order: "Execute prompt-forge workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic foundry processes"
/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/
[define|neutral] SKILL := { name: "prompt-forge", category: "foundry", version: "2.0.1", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S1 COGNITIVE FRAME / /----------------------------------------------------------------------------*/
[define|neutral] COGNITIVE_FRAME := { frame: "Compositional", source: "German", force: "Build from primitives?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
/----------------------------------------------------------------------------/ /* S2 TRIGGER CONDITIONS / /----------------------------------------------------------------------------*/
[define|neutral] TRIGGER_POSITIVE := { keywords: ["prompt-forge", "foundry", "workflow"], context: "user needs prompt-forge capability" } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/
Prompt Forge (Meta-Prompt)
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
Purpose
Generate improved prompts and templates with:
- Explicit rationale for each change
- Predicted improvement metrics
- Risk assessment
- Actionable diffs
Key Innovation: Can improve Skill Forge prompts, then Skill Forge can improve Prompt Forge prompts - creating a recursive improvement loop.
When to Use
- Optimizing existing prompts for better performance
- Creating prompt diffs with clear rationale
- Running the recursive improvement loop
- Auditing prompts for common issues
MCP Requirements
memory-mcp (Required)
Purpose: Store proposals, test results, version history
Activation:
claude mcp add memory-mcp npx @modelcontextprotocol/server-memory
Core Operations
Operation 1: Analyze Prompt
Before improving, deeply understand the target prompt.
analysis:
target: "{prompt_path}"
structural_analysis:
sections: [list of sections]
flow: "How sections connect"
dependencies: "What inputs/outputs exist"
quality_assessment:
clarity:
score: 0.0-1.0
issues: ["Ambiguous instruction in section X"]
completeness:
score: 0.0-1.0
issues: ["Missing failure handling for case Y"]
precision:
score: 0.0-1.0
issues: ["Vague success criteria in section Z"]
pattern_detection:
evidence_based_techniques:
self_consistency: present|missing|partial
program_of_thought: present|missing|partial
plan_and_solve: present|missing|partial
failure_handling:
explicit_errors: present|missing|partial
edge_cases: present|missing|partial
uncertainty: present|missing|partial
improvement_opportunities:
- area: "Section X"
issue: "Lacks explicit timeout handling"
priority: high|medium|low
predicted_impact: "+X% reliability"
Operation 2: Generate Improvement Proposal
Create concrete, testable improvement proposals.
proposal:
id: "prop-{timestamp}"
target: "{prompt_path}"
type: "prompt_improvement"
summary: "One-line description of improvement"
changes:
- section: "Section name"
location: "Line X-Y"
before: |
Original text...
after: |
Improved text...
rationale: "Why this change improves the prompt"
technique: "Which evidence-based technique applied"
predicted_improvement:
primary_metric: "success_rate"
expected_delta: "+5%"
confidence: 0.8
reasoning: "Based on similar improvements in prompt X"
risk_assessment:
regression_risk: low|medium|high
affected_components:
- "Component 1"
- "Component 2"
rollback_complexity: simple|moderate|complex
test_plan:
- test: "Run on benchmark task A"
expected: "Improvement in clarity score"
- test: "Check for regressions in task B"
expected: "No degradation"
Operation 3: Apply Evidence-Based Techniques
Systematically apply research-validated prompting patterns.
Self-Consistency Enhancement
BEFORE:
"Analyze the code and report issues"
AFTER:
"Analyze the code from three perspectives:
1. Security perspective: What vulnerabilities exist?
2. Performance perspective: What bottlenecks exist?
3. Maintainability perspective: What code smells exist?
Cross-reference findings. Flag any inconsistencies between perspectives.
Provide confidence scores for each finding.
Return only findings that appear in 2+ perspectives OR have >80% confidence."
Program-of-Thought Enhancement
BEFORE:
"Calculate the optimal configuration"
AFTER:
"Calculate the optimal configuration step by step:
Step 1: Identify all configuration parameters
- List each parameter
- Document valid ranges
- Note dependencies between parameters
Step 2: Define optimization criteria
- Primary metric: [what to maximize/minimize]
- Constraints: [hard limits]
- T
/*----------------------------------------------------------------------------*/
/* S4 SUCCESS CRITERIA */
/*----------------------------------------------------------------------------*/
[define|neutral] SUCCESS_CRITERIA := {
primary: "Skill execution completes successfully",
quality: "Output meets quality thresholds",
verification: "Results validated against requirements"
} [ground:given] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S5 MCP INTEGRATION */
/*----------------------------------------------------------------------------*/
[define|neutral] MCP_INTEGRATION := {
memory_mcp: "Store execution results and patterns",
tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"]
} [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S6 MEMORY NAMESPACE */
/*----------------------------------------------------------------------------*/
[define|neutral] MEMORY_NAMESPACE := {
pattern: "skills/foundry/prompt-forge/{project}/{timestamp}",
store: ["executions", "decisions", "patterns"],
retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]
[define|neutral] MEMORY_TAGGING := {
WHO: "prompt-forge-{session_id}",
WHEN: "ISO8601_timestamp",
PROJECT: "{project_name}",
WHY: "skill-execution"
} [ground:system-policy] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S7 SKILL COMPLETION VERIFICATION */
/*----------------------------------------------------------------------------*/
[direct|emphatic] COMPLETION_CHECKLIST := {
agent_spawning: "Spawn agents via Task()",
registry_validation: "Use registry agents only",
todowrite_called: "Track progress with TodoWrite",
work_delegation: "Delegate to specialized agents"
} [ground:system-policy] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S8 ABSOLUTE RULES */
/*----------------------------------------------------------------------------*/
[direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]
[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]
[direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* PROMISE */
/*----------------------------------------------------------------------------*/
[commit|confident] <promise>PROMPT_FORGE_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]