# Bootstrap Loop > Bootstrap Loop - Skill: `dnyoussef/bootstrap-loop` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add dnyoussef/bootstrap-loop` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/bootstrap-loop/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/bootstrap-loop --- /*============================================================================*/ /* BOOTSTRAP-LOOP SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: bootstrap-loop version: 1.0.0 description: | [assert|neutral] Orchestrates the recursive self-improvement cycle where Prompt Forge improves Skill Forge, Skill Forge improves Prompt Forge, and both audit/improve everything else. All changes gated by frozen eval h [ground:given] [conf:0.95] [state:confirmed] category: foundry tags: - recursive - self-improvement - dogfooding - orchestration author: system cognitive_frame: primary: evidential goal_analysis: first_order: "Execute bootstrap-loop workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic foundry processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "bootstrap-loop", category: "foundry", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [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: ["bootstrap-loop", "foundry", "workflow"], context: "user needs bootstrap-loop capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # Bootstrap Loop (Recursive Self-Improvement Orchestrator) ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Purpose Orchestrate the recursive improvement cycle: ``` +------------------+ +------------------+ | PROMPT FORGE |-------->| SKILL FORGE | | (Meta-Prompt) |<--------| (Meta-Skill) | +------------------+ +------------------+ | | | Improved tools audit | | and improve everything | v v +--------------------------------------------------+ | AUDITOR AGENTS | | [Prompt] [Skill] [Expertise] [Output] | +--------------------------------------------------+ | | | All changes gated by | v v +--------------------------------------------------+ | EVAL HARNESS (FROZEN) | | Benchmarks | Regression Tests | Human Gates | +--------------------------------------------------+ ``` **CRITICAL**: The eval harness does NOT self-improve. It is the anchor that prevents Goodhart's Law. ## When to Use - Running a recursive improvement cycle - Improving meta-tools (Prompt Forge, Skill Forge) - Auditing and improving system-wide prompts/skills - Measuring improvement over time ## MCP Requirements ### memory-mcp (Required) **Purpose**: Store proposals, test results, version history, metrics **Activation**: ```bash claude mcp add memory-mcp npx @modelcontextprotocol/server-memory ``` --- ## Core Operations ### Operation 1: Run Single Improvement Cycle Execute one full cycle of recursive improvement. ```yaml cycle: id: "cycle-{timestamp}" target: "prompt-forge|skill-forge|all" phases: 1_analyze: action: "Prompt Forge analyzes target for weaknesses" output: "Analysis with improvement opportunities" 2_propose: action: "Prompt Forge generates improvement proposals" output: "Concrete proposals with diffs" 3_apply: action: "Skill Forge applies proposals (builds new version)" output: "New version of target" 4_evaluate: action: "Eval Harness tests new version" output: "Benchmark + regression results" 5_decide: action: "Compare results, decide ACCEPT or REJECT" output: "Decision with reasoning" 6_commit_or_rollback: action: "If ACCEPT: commit + archive. If REJECT: rollback" output: "Final state + audit log" ``` ### Operation 2: Improve Prompt Forge Use Skill Forge to improve Prompt Forge. ```yaml improve_prompt_forge: process: - step: "Analyze Prompt Forge with prompt-auditor" agent: "prompt-auditor" output: "Audit report with issues" - step: "Generate improvement proposals" agent: "prompt-forge" (self-analysis) output: "Proposals for self-improvement" - step: "Apply improvements with Skill Forge" agent: "skill-forge" output: "prompt-forge-v{N+1}" - step: "Test against eval harness" eval: "prompt-generation-benchmark-v1" regression: "prompt-forge-regression-v1" - step: "If improved: commit. If regressed: reject" safeguards: - "Previous version archived before changes" - "Requires eval harness pass" - "Rollback available for 30 days" - "Auditor agents must agree on improvement" forbidden_changes: - "Removing safeguards" - "Bypassing eval harness" - "Modifying frozen benchmarks" ``` ### Operation 3: Improve Skill Forge Use Prompt Forge to improve Skill Forge. ```yaml improve_skill_forge: process: - step: "Analyze Skill Forge with skill-auditor" agent: "skill-auditor" output: "Audit report with issues" - step: "Generate improvement proposals with Prompt Forge" agent: "prompt-forge" output: "Proposals with rationale" - step: "Apply improvements (Skill Forge rebuilds /*----------------------------------------------------------------------------*/ /* 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/bootstrap-loop/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "bootstrap-loop-{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] BOOTSTRAP_LOOP_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]