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    kaitranntt

    ccs-delegation

    kaitranntt/ccs-delegation
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    SKILL.md

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    About

    Auto-activate CCS CLI delegation for deterministic tasks...

    SKILL.md

    CCS Delegation

    Delegate deterministic tasks to cost-optimized models via CCS CLI.

    Core Concept

    Execute tasks via alternative models using:

    • Initial delegation: ccs {profile} -p "task"
    • Session continuation: ccs {profile}:continue -p "follow-up"

    Profile Selection:

    • Auto-select from ~/.ccs/config.json via task analysis
    • Profiles: glm (cost-optimized), kimi (long-context/reasoning), custom profiles
    • Override: --{profile} flag forces specific profile

    User Invocation Patterns

    Users trigger delegation naturally:

    • "use ccs [task]" - Auto-select best profile
    • "use ccs --glm [task]" - Force GLM profile
    • "use ccs --kimi [task]" - Force Kimi profile
    • "use ccs:continue [task]" - Continue last session

    Examples:

    • "use ccs to fix typos in README.md"
    • "use ccs to analyze the entire architecture"
    • "use ccs --glm to add unit tests"
    • "use ccs:continue to commit the changes"

    Agent Response Protocol

    For /ccs [task]:

    1. Parse override flag

      • Scan task for pattern: --(\w+)
      • If match: profile = match[1], remove flag from task, skip to step 5
      • If no match: continue to step 2
    2. Discover profiles

      • Read ~/.ccs/config.json using Read tool
      • Extract Object.keys(config.profiles) → availableProfiles[]
      • If file missing → Error: "CCS not configured. Run: ccs doctor"
      • If empty → Error: "No profiles in config.json"
    3. Analyze task requirements

      • Scan task for keywords:
        • /(think|analyze|reason|debug|investigate|evaluate)/i → needsReasoning = true
        • /(architecture|entire|all files|codebase|analyze all)/i → needsLongContext = true
        • /(typo|test|refactor|update|fix)/i → preferCostOptimized = true
    4. Select profile

      • For each profile in availableProfiles: classify by name pattern (see Profile Characteristic Inference table)
      • If needsReasoning: filter profiles where reasoning=true → prefer kimi
      • Else if needsLongContext: filter profiles where context=long → prefer kimi
      • Else: filter profiles where cost=low → prefer glm
      • selectedProfile = filteredProfiles[0]
      • If filteredProfiles.length === 0: fallback to glm if exists, else first available
      • If no profiles: Error
    5. Enhance prompt

      • If task mentions files: gather context using Read tool
      • Add: file paths, current implementation, expected behavior, success criteria
      • Preserve slash commands at task start (e.g., /cook, /commit)
    6. Execute delegation

      • Run: ccs {selectedProfile} -p "$enhancedPrompt" via Bash tool
    7. Report results

      • Log: "Selected {profile} (reason: {reasoning/long-context/cost-optimized})"
      • Report: Cost (USD), Duration (sec), Session ID, Exit code

    For /ccs:continue [follow-up]:

    1. Detect profile

      • Read ~/.ccs/delegation-sessions.json using Read tool
      • Find most recent session (latest timestamp)
      • Extract profile name from session data
      • If no sessions → Error: "No previous delegation. Use /ccs first"
    2. Parse override flag

      • Scan follow-up for pattern: --(\w+)
      • If match: profile = match[1], remove flag from follow-up, log profile switch
      • If no match: use detected profile from step 1
    3. Enhance prompt

      • Review previous work (check what was accomplished)
      • Add: previous context, incomplete tasks, validation criteria
      • Preserve slash commands at start
    4. Execute continuation

      • Run: ccs {profile}:continue -p "$enhancedPrompt" via Bash tool
    5. Report results

      • Report: Profile, Session #, Incremental cost, Total cost, Duration, Exit code

    Decision Framework

    Delegate when:

    • Simple refactoring, tests, typos, documentation
    • Deterministic, well-defined scope
    • No discussion/decisions needed

    Keep in main when:

    • Architecture/design decisions
    • Security-critical code
    • Complex debugging requiring investigation
    • Performance optimization
    • Breaking changes/migrations

    Profile Selection Logic

    Task Analysis Keywords (scan task string with regex):

    Pattern Variable Example
    /(think|analyze|reason|debug|investigate|evaluate)/i needsReasoning = true "think about caching"
    /(architecture|entire|all files|codebase|analyze all)/i needsLongContext = true "analyze all files"
    /(typo|test|refactor|update|fix)/i preferCostOptimized = true "fix typo in README"

    Profile Characteristic Inference (classify by name pattern):

    Profile Pattern Cost Context Reasoning
    /^glm/i low standard false
    /^kimi/i medium long true
    /^claude/i high standard false
    others low standard false

    Selection Algorithm (apply filters sequentially):

    profiles = Object.keys(config.profiles)
    classified = profiles.map(p => ({name: p, ...inferCharacteristics(p)}))
    
    if (needsReasoning):
      filtered = classified.filter(p => p.reasoning === true).sort(['kimi'])
    else if (needsLongContext):
      filtered = classified.filter(p => p.context === 'long').sort(['kimi'])
    else:
      filtered = classified.filter(p => p.cost === 'low').sort(['glm', ...])
    
    selected = filtered[0] || profiles.find(p => p === 'glm') || profiles[0]
    if (!selected): throw Error("No profiles configured")
    
    log("Selected {selected} (reason: {reasoning|long-context|cost-optimized})")
    

    Override Logic:

    • Parse task for /--(\w+)/. If match: profile = match[1], remove from task, skip selection

    Example Delegation Tasks

    Good candidates:

    • "/ccs add unit tests for UserService using Jest" → Auto-selects: glm (simple task)
    • "/ccs analyze entire architecture in src/" → Auto-selects: kimi (long-context)
    • "/ccs think about the best database schema design" → Auto-selects: kimi (reasoning)
    • "/ccs --glm refactor parseConfig to use destructuring" → Forces: glm (override)

    Bad candidates (keep in main):

    • "implement OAuth" (too complex, needs design)
    • "improve performance" (requires profiling)
    • "fix the bug" (needs investigation)

    Execution

    Commands:

    • /ccs "task" - Intelligent delegation (auto-select profile)
    • /ccs --{profile} "task" - Force specific profile
    • /ccs:continue "follow-up" - Continue last session (auto-detect profile)
    • /ccs:continue --{profile} "follow-up" - Continue with profile switch

    Agent via Bash:

    • Auto: ccs {auto-selected} -p "task"
    • Continue: ccs {detected}:continue -p "follow-up"

    References

    Template: CLAUDE.md.template - Copy to user's CLAUDE.md for auto-delegation config Troubleshooting: references/troubleshooting.md

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    Repository
    kaitranntt/ccs
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