Best for
- Before invoking external LLMs for task assistance.
- When operations are token-heavy and exceed local context limits.
- When batch processing benefits from different model characteristics.
athola/claude-night-market/plugins/conjure/skills/delegation-core/SKILL.md
Delegates tasks to Gemini, Qwen, or MiniMax with quota tracking and error handling. Use when tasks exceed context window or need cheaper processing.
Decision brief
Delegates tasks to Gemini, Qwen, or MiniMax with quota tracking and error handling.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Declared | Source record | Install path and trigger |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/athola/claude-night-market --skill "plugins/conjure/skills/delegation-core"Inspect the Agent Skill "delegation-core" from https://github.com/athola/claude-night-market/blob/90037391d2db6536f67a7ccc8dee7c6819f170b7/plugins/conjure/skills/delegation-core/SKILL.md at commit 90037391d2db6536f67a7ccc8dee7c6819f170b7. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Classify the task: - See modules/task-assessment.md for classification criteria. - Use token estimates to determine thresholds. - Apply the decision matrix.
Classify the task: - See modules/task-assessment.md for classification criteria. - Use token estimates to determine thresholds. - Apply the decision matrix.
A method for deciding when and how to delegate tasks to external LLM services. Core principle: delegate execution, retain high-level reasoning.
Before invoking external LLMs for task assistance.
Task requires reasoning by Claude
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 92/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 330 | Source | Repository attention, not individual Skill quality |
| Compatibility | 1 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
delegation-core:task-assessed)delegation-core:delegation-suitability)delegation-core:handoff-planned)delegation-core:results-integrated)A method for deciding when and how to delegate tasks to external LLM services. Core principle: delegate execution, retain high-level reasoning.
Delegate execution, retain reasoning. Claude handles architecture, strategy, design, and review. External LLMs perform data processing, pattern extraction, bulk operations, and summarization.
| Complexity | Context | Recommendation |
|---|---|---|
| High | Any | Keep local |
| Low | Large | Delegate |
| Low | Small | Either |
High Complexity: Architecture, design decisions, trade-offs, creative problem solving.
Low Complexity: Pattern counting, bulk extraction, boilerplate generation, summarization.
delegation-core:task-assessed)Classify the task:
modules/task-assessment.md for classification criteria.Exit Criteria: Task classified with complexity level, context size, and delegation recommendation.
delegation-core:delegation-suitability)Verify prerequisites:
modules/handoff-patterns.md for checklist.modules/cost-estimation.md.Exit Criteria: Service authenticated, quotas verified, cost justified.
delegation-core:handoff-planned)Create a delegation plan:
modules/handoff-patterns.md for request template.Exit Criteria: Delegation plan documented.
delegation-core:results-integrated)Execute and validate results:
Exit Criteria: Results validated and integrated, usage logged.
For MCP servers that don't support Dynamic Client Registration (e.g., Slack), pre-configured OAuth client credentials can be provided:
claude mcp add <server-name> --client-id <id> --client-secret <secret>
This enables delegation workflows through MCP servers that require pre-configured OAuth, expanding the range of external services available for task delegation.
As an alternative to manual OAuth setup, users can configure MCP servers directly in claude.ai at claude.ai/settings/connectors. These connectors are automatically available in Claude Code when logged in with a claude.ai account: no claude mcp add or credential management required. This provides a browser-based auth flow that may be simpler for services with complex OAuth requirements.
When delegating tasks that modify files to subagents, use isolation: worktree in the agent frontmatter to run each agent in a temporary git worktree. This prevents file conflicts when multiple delegated agents operate in parallel on overlapping paths. The worktree is auto-cleaned if no changes are made; preserved with commits if the agent produces changes.
# Agent frontmatter for isolated delegation
isolation: worktree
Conjure uses leyline infrastructure:
| Leyline Skill | Used For |
|---|---|
quota-management | Track service quotas and thresholds. |
usage-logging | Session-aware audit trails. |
service-registry | Unified service configuration. |
error-patterns | Consistent error handling. |
authentication-patterns | Auth verification. |
See modules/cost-estimation.md for leyline integration examples.
For detailed service workflows:
Skill(conjure:gemini-delegation): Gemini CLI specifics.Skill(conjure:qwen-delegation): Qwen MCP specifics.Skill(conjure:minimax-delegation): MiniMax CLI specifics.When delegating to multiple agents, choose the appropriate execution mode:
| Mode | When to Use | How It Works |
|---|---|---|
| single-session | Sequential tasks, same-file edits | Claude works through tasks in order |
| subagents | Parallel independent tasks | Agents work independently, report back |
| agent-team | Parallel coordinated tasks | Agents can communicate with each other |
See references/execution-modes.md for the selection decision
matrix, mode compatibility notes, and anti-patterns to avoid.
Frequently asked questions
Delegates tasks to Gemini, Qwen, or MiniMax with quota tracking and error handling.
The source record exposes this install command: npx skills add https://github.com/athola/claude-night-market --skill "plugins/conjure/skills/delegation-core". Inspect the command and pinned source before running it.
The pinned source record declares support for: claude code.
Alternatives
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Create/scaffold/init a project-local agent skill under `.agents/skills` in an ordinary repository; defer to repository instructions that define a source catalog and lifecycle.