Context Cascade - Nested Plugin Architecture for Claude Code Official Claude Code Plugin | Version 3.1.0 | Last updated: 2026-01-09 (see docs/COMPONENT-COUNTS.json for source counts) Context-saving nested architecture: Playbooks -> Skills -> Agents -> Commands. Load only what you need, saving 90%+ context space.
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4Install
npx skillscat add dnyoussef/context-cascade/skills-foundry-when-managing-token-budget-use-token-budget-advisor Install via the SkillsCat registry.
/============================================================================/
/* 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
# 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:
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] <promise>WHEN_MANAGING_TOKEN_BUDGET_USE_TOKEN_BUDGET_ADVISOR_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]