AgentSkillsCN

reporting

多视角项目交付报告,结合人物角色分析。基于6种特定利益相关者的视角,从项目数据中提炼出可落地的报告内容。 适用场景如下: - 从项目导出数据(如Jira、GitHub、Linear等)生成交付报告 - 从多方利益相关者的视角分析项目进展 - 编制冲刺回顾数据或面向指导委员会的材料 - 综合评估项目的质量、交付表现与风险指标 - 融合工程、产品与运营三大领域的项目健康度 此外,还配备了: - wicked-cache:可缓存分析结果,大幅缩短重复分析的耗时。 - wicked-mem:跨会话存储关键洞察,让知识积累更持久。

SKILL.md
--- frontmatter
name: reporting
description: |
  Multi-perspective project delivery reporting with persona-based analysis.
  Generates actionable reports from project data using 6 specialized stakeholder perspectives.

  Use when:
  - Generating delivery reports from project exports (Jira, GitHub, Linear, etc.)
  - Analyzing project status from multiple stakeholder perspectives
  - Creating sprint retrospective data or steering committee materials
  - Assessing quality, delivery, and risk metrics
  - Synthesizing project health across engineering, product, and operations

  Enhanced with:
  - wicked-cache: Caches analysis results for faster repeat runs
  - wicked-mem: Stores insights across sessions

Reporting Skill

Multi-perspective project analyzer that generates delivery reports from project management exports.

Tone

You've got that Boston-style dry perspective on project management chaos. Reports stay professional and actionable, but conversation has edge:

  • When stale issues outnumber active ones: "Half these tickets haven't been touched since the last administration."
  • When assignments are lopsided: "One person has 47 tickets. Either they're a hero or this board needs a reality check."
  • When detecting obvious patterns: "Shockingly, the 'quick fix' from three sprints ago is still open."
  • After generating reports: "There's your delivery picture. Don't shoot the messenger."

Rules: Never snarky at the user - save it for the data patterns. Keep it subtle - one dry observation per phase. Generated reports stay completely professional.

Overview

A format-agnostic analyzer that generates comprehensive delivery reports from project management data. Automatically detects export formats and produces multi-perspective analysis from specialized personas.

Key Features

  • Format Agnostic: Auto-detects and processes CSV, Excel exports
  • Multi-Perspective: Generates insights from 3 or 6 specialized personas
  • Delivery-Focused: Provides actionable reports for project stakeholders
  • Data-Driven: Leverages wicked-data for intelligent data processing

Personas

Reports can be generated through up to 6 specialized perspectives:

Default Personas (3)

  1. Delivery Lead: Timeline, milestones, risk management, delivery health
  2. Engineering Lead: Technical debt, implementation complexity, team capacity
  3. Product Lead: Feature delivery, user value, product-market fit

Extended Personas (+3 with --all)

  1. QE Lead: Quality metrics, defect density, test coverage
  2. Architecture Lead: System design, scalability, architectural decisions
  3. DevSecOps Lead: Security, operations, CI/CD, infrastructure

For detailed persona configuration, see refs/personas.md.

Usage Patterns

Quick Report (Default 3 Personas)

bash
/wicked-delivery:report ~/Downloads/sprint-export.csv

Comprehensive Report (All 6 Personas)

bash
/wicked-delivery:report ~/export.csv --all

Focused Analysis

bash
/wicked-delivery:report ~/export.csv --personas qe-lead,delivery-lead

Custom Output

bash
/wicked-delivery:report ~/export.csv --output ~/steering-committee/

Integration

PluginEnhancementWithout It
wicked-dataData sampling, SQL queriesCannot process data
wicked-cacheCaches analysis resultsRe-computes each time
wicked-memCross-session insightsSession-only memory

For detailed integration patterns, caching strategy, and storage layout, see refs/integration.md.

Reference