Skip to main content

ccs-delegation

Auto-activate CCS CLI delegation for deterministic tasks. Parses user input, auto-selects optimal profile (glm/kimi/custom) from ~/.ccs/config.json, enhances prompts with context, executes via `ccs {profile} -p "task"` or `ccs {profile}:continue`, and reports results. Triggers on "use ccs [task]" patterns, typo/test/refactor keywords. Excludes complex architecture, security-critical code, performance optimization, breaking changes.

معلومات المصدر

المستودع
kaitranntt/ccs
آخر نشاط في المصدر
٥ ديسمبر ٢٠٢٥ في ١٩:٥٥
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٢٬٨٦٤
التفرعات
٢٦٤

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات
3 ملفات

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
ccs-delegation
description
Auto-activate CCS CLI delegation for deterministic tasks. Parses user input, auto-selects optimal profile (glm/kimi/custom) from ~/.ccs/config.json, enhances prompts with context, executes via `ccs {profile} -p "task"` or `ccs {profile}:continue`, and reports results. Triggers on "use ccs [task]" patterns, typo/test/refactor keywords. Excludes complex architecture, security-critical code, performance optimization, breaking changes.
version
3.0.0
# 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`
عرض على GitHub