# When Managing Token Budget Use Token Budget Advisor > When Managing Token Budget Use Token Budget Advisor - Skill: `dnyoussef/when-managing-token-budget-use-token-budget-advisor` (Agent Skill, multi-file: 5 files) - Install (CLI): `npx skillmds@latest add dnyoussef/when-managing-token-budget-use-token-budget-advisor` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/when-managing-token-budget-use-token-budget-advisor/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Finance & Business - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/when-managing-token-budget-use-token-budget-advisor --- /*============================================================================*/ /* WHEN-MANAGING-TOKEN-BUDGET-USE-TOKEN-BUDGET-ADVISOR SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: when-managing-token-budget-use-token-budget-advisor version: 1.0.0 description: | [assert|neutral] Proactive token budget management tool for assessing usage, analyzing task complexity, generating chunking strategies, and creating execution plans that stay within budget limits [ground:given] [conf:0.95] [state:confirmed] category: foundry tags: - meta-tool - token-management - budget-optimization - task-planning - chunking author: ruv cognitive_frame: primary: compositional goal_analysis: first_order: "Execute when-managing-token-budget-use-token-budget-advisor workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic foundry processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "when-managing-token-budget-use-token-budget-advisor", category: "foundry", version: "1.0.0", 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: ["when-managing-token-budget-use-token-budget-advisor", "foundry", "workflow"], context: "user needs when-managing-token-budget-use-token-budget-advisor capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ ## Skill Execution Criteria ### When to Use This Skill - [AUTO-EXTRACTED from skill description and content] - [Task patterns this skill is optimized for] - [Workflow contexts where this skill excels] ### When NOT to Use This Skill - [Situations where alternative skills are better suited] - [Anti-patterns that indicate wrong skill choice] - [Edge cases this skill doesn't handle well] ### Success Criteria - primary_outcome: "[SKILL-SPECIFIC measurable result based on skill purpose]" - [assert|neutral] quality_threshold: 0.85 [ground:acceptance-criteria] [conf:0.90] [state:provisional] - verification_method: "[How to validate skill executed correctly and produced expected outcome]" ### Edge Cases - case: "Ambiguous or incomplete input" handling: "Request clarification, document assumptions, proceed with explicit constraints" - case: "Conflicting requirements or constraints" handling: "Surface conflict to user, propose resolution options, document trade-offs" - case: "Insufficient context for quality execution" handling: "Flag missing information, provide template for needed context, proceed with documented limitations" ### Skill Guardrails NEVER: - "[SKILL-SPECIFIC anti-pattern that breaks methodology]" - "[Common mistake that degrades output quality]" - "[Shortcut that compromises skill effectiveness]" ALWAYS: - "[SKILL-SPECIFIC requirement for successful execution]" - "[Critical step that must not be skipped]" - "[Quality check that ensures reliable output]" ### Evidence-Based Execution self_consistency: "After completing this skill, verify output quality by [SKILL-SPECIFIC validation approach]" program_of_thought: "Decompose this skill execution into: [SKILL-SPECIFIC sequential steps]" plan_and_solve: "Plan: [SKILL-SPECIFIC planning phase] -> Execute: [SKILL-SPECIFIC execution phase] -> Verify: [SKILL-SPECIFIC verification phase]" # Token Budget Advisor ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. **Purpose:** Proactively manage token budgets by analyzing current usage, estimating task complexity, generating intelligent chunking strategies, prioritizing work, and creating step-by-step execution plans that stay within budget limits. ## When to Use This Skill - Before starting large or complex tasks - When approaching token budget limits - During multi-phase project planning - When tasks fail due to token exhaustion - For optimizing resource allocation - When coordinating multiple agents ## Analysis Dimensions ### 1. Budget Assessment - Current token usage vs. limits - Remaining budget calculation - Historical usage patterns - Projected usage for pending tasks - Buffer allocation for safety ### 2. Task Complexity Analysis - Token estimation by task type - Agent requirements and costs - Integration complexity - Testing overhead - Documentation needs ### 3. Chunking Strategy - Logical task boundaries - Dependency analysis - Chunk size optimization - Inter-chunk communication - State management between chunks ### 4. Priority Optimization - Critical path identification - Value vs. cost analysis - Risk assessment - Quick wins identification - Deferrable work detection ### 5. Execution Planning - Step-by-step task sequence - Budget tracking per step - Checkpoint planning - Rollback strategies - Progress monitoring ## Execution Process ### Phase 1: Budget Assessment ```bash # Initialize budget analysis npx claude-flow@alpha hooks pre-task --description "Analyzing token budget" # Retrieve current usage npx claude-flow@alpha memory retrieve --key "token-usage/current" ``` **Budget Calculation:** ```javascript function assessBudget(tokenLimit = 200000) { const usage = { limit: tokenLimit, used: getCurrentTokenUsage(), remaining: 0, buffer: 0, available: 0, status: "unknown" }; usage.remaining = usage.limit - usage.used; usage.buffer = Math.floor(usage.limit * 0 /*----------------------------------------------------------------------------*/ /* 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/when-managing-token-budget-use-token-budget-advisor/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "when-managing-token-budget-use-token-budget-advisor-{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] WHEN_MANAGING_TOKEN_BUDGET_USE_TOKEN_BUDGET_ADVISOR_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]