AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Ccs Delegation

skill-spideynolove-claude-dotfiles-ccs-delegation · by spideynolove

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, perform…

No reviews yet
0 installs
28 views
0.0% view→install

Install

$ agentstack add skill-spideynolove-claude-dotfiles-ccs-delegation

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-spideynolove-claude-dotfiles-ccs-delegation)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Ccs Delegation? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

> Note: Converted from Claude Skill.

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
  1. 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"
  1. Analyze task requirements
  • Scan task for keywords:
  • /(think|analyze|reason|debug|investigate|evaluate)/ineedsReasoning = true
  • /(architecture|entire|all files|codebase|analyze all)/ineedsLongContext = true
  • /(typo|test|refactor|update|fix)/ipreferCostOptimized = true
  1. 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
  1. 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)
  1. Execute delegation
  • Run: ccs {selectedProfile} -p "$enhancedPrompt" via Bash tool
  1. 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"
  1. 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
  1. Enhance prompt
  • Review previous work (check what was accomplished)
  • Add: previous context, incomplete tasks, validation criteria
  • Preserve slash commands at start
  1. Execute continuation
  • Run: ccs {profile}:continue -p "$enhancedPrompt" via Bash tool
  1. 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.