音乐与创意实践资源预算分配

diegosouzapw2026-10-28查看 194复制 1346

在生产环境中为音乐与创意实践工作流操作“音乐与创意实践的资源预算分配”能力。当任务执行明确需要此能力,且结果必须可复现、受策略门控并可供交接时使用。

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📘如何使用这个技能

  1. 1
    复制技能内容·点击上方「Copy SKILL.md」复制全部内容,或 Download 下载到本地
  2. 2
    打开你的 AI 客户端·支持 Claude Code、Trae、Cursor、ChatGPT、DeepSeek、Kimi 等任意 AI 助手
  3. 3
    粘贴为系统提示/知识文件·Claude Code:放入 .claude/skills/ 目录;普通对话:作为首条消息发送并说「请严格按这份技能文档执行」
  4. 4
    直接提出你的需求·AI 会按技能定义的工作流、格式和约束来处理,无需再解释背景

💡 提示:技能生效后,每次对话只需一句需求,AI 会按 SKILL.md 的流程执行。

SKILL.md4953 chars
---
name: u01174-resource-budget-allocation-for-music-and-creative-practice
description: Operate the "Resource Budget Allocation for music and creative practice" capability in production for music and creative practice workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.
---

# Resource Budget Allocation for music and creative practice

## Why This Skill Exists
Use resource budget allocation in music and creative practice with emphasis on throughput, reliability, leverage, and execution speed.

## Step-by-Step Implementation Guide
1. Define measurable outcomes for Resource Budget Allocation for music and creative practice, including baseline and target metrics for music and creative practice.
2. Specify structured inputs/outputs for resource budget allocation and validate schema contract edge cases.
3. Implement the core resource budget allocation logic with deterministic scoring and reproducible execution traces.
4. Integrate orchestration policy, routing, approval gates, retries, and rollback for autonomous execution.
5. Run unit, integration, simulation, and regression suites for Resource Budget Allocation for music and creative practice under hyper-productive autonomy conditions.
6. Roll out behind a feature flag, monitor telemetry, and refine thresholds using observed operational outcomes.

## Metadata
- **Skill ID:** `1174`
- **Skill Name:** `u01174-resource-budget-allocation-for-music-and-creative-practice`
- **Domain:** `music and creative practice`
- **Domain Slug:** `music-and-creative-practice`
- **Archetype:** `generalist-engine`
- **Core Method:** `resource budget allocation`
- **Primary Artifact:** `resource-budget-allocation-artifact-music-and-creative-practice`
- **Routing Tag:** `music-and-creative-practice:generalist-engine`
- **Feature Flag:** `skill_01174_resource-budget-allocation`
- **Release Cycles:** `2`

## Allowed Tools
- `read`, `write`, `edit` for contract maintenance, runbook updates, and handoff documentation.
- `exec`, `process` for deterministic execution, validation suites, and regression checks.
- `web_search`, `web_fetch` only when fresh external evidence is required for claims/evidence inputs.
- Use messaging or publishing tools only after policy approval gates are satisfied.

## Inputs (formatted)
| name | type | required | source |
|---|---|---|---|
| (none) | - | - | - |

## Outputs (formatted)
| name | type | guaranteed | consumer |
|---|---|---|---|
| (none) | - | - | - |

## Guidelines
1. Validate required inputs before execution and reject non-conforming payloads early.
2. Run `resource budget allocation` with deterministic settings and trace capture enabled.
3. Produce `resource-budget-allocation-artifact-music-and-creative-practice` outputs in machine-readable form for orchestrator/operator use.
4. Keep routing aligned with `music-and-creative-practice:generalist-engine` and include approval context.
5. Tune thresholds incrementally based on observed KPI drift and incident learnings.

## Musts
- Enforce approval gates: `policy-constraint-check`, `human-approval-router`.
- Apply retry policy: maxAttempts=`4`, baseDelayMs=`750`, backoff=`exponential`.
- Run validation suites before release: `unit`, `integration`, `simulation`, `regression-baseline`.
- Fail closed when validation gates fail and execute rollback strategy `rollback-to-last-stable-baseline`.
- Preserve reproducible evidence artifacts for audits and downstream handoff.

## Targets (day/week/month operating cadence)
- **Day:** Validate new upstream signals, execute deterministic run, and hand off outputs for active decisions.
- **Week:** Review KPI focus (`cycle time reduction`, `throughput gain`, `automation leverage in music and creative practice`), failure trends, and approval/retry performance.
- **Month:** Re-baseline deterministic expectations, confirm policy alignment, and refresh feature-flag/rollout posture.

## Common Actions
1. **Intake Check:** Confirm all required signals are present and schema-valid.
2. **Core Execution:** Run the capability pipeline and generate report + scorecard artifacts.
3. **Gate Review:** Evaluate validation and approval gates before publish-level handoff.
4. **Recovery:** Retry transient failures, then rollback to stable baseline on persistent errors.
5. **Handoff:** Send artifacts with risk/confidence metadata and downstream routing hints.

## External Tool Calls Needed
- None required by default.
- If external systems are introduced for a run, record the dependency, timeout budget, and retry behavior in execution notes.

## Validation & Handoff
### Validation Gates
- (none declared)

### Validation Suites
- `unit`
- `integration`
- `simulation`
- `regression-baseline`

### Failure Handling
- (none declared)

### Handoff Contract
- **Produces:** (none declared)
- **Consumes:** (none declared)
- **Downstream Hint:** (none declared)
来源:skillsdirectory

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