Agent SkillsPaca-AI/paca › paca-estimate

paca-estimate

GitHub

用于为Paca任务估算Fibonacci故事点。通过分析技术栈、参考历史任务和评估复杂度/不确定性,提供校准后的工作量估算,并将结果写回任务描述,支持Sprint规划前的优先级排序和积压工作梳理。

services/ai-agent/src/skills/paca-estimate/SKILL.md Paca-AI/paca

触发场景

任务缺少估算值 Sprint规划前 团队需要对 backlog 进行规模评估或优先级排序 用户明确要求对任务进行估算

安装

npx skills add Paca-AI/paca --skill paca-estimate -g -y
更多选项

非标准路径

npx skills add https://github.com/Paca-AI/paca/tree/master/services/ai-agent/src/skills/paca-estimate -g -y

不安装直接使用

npx skills use Paca-AI/paca@paca-estimate

指定 Agent (Claude Code)

npx skills add Paca-AI/paca --skill paca-estimate -a claude-code -g -y

安装 repo 全部 skill

npx skills add Paca-AI/paca --all -g -y

预览 repo 内 skill

npx skills add Paca-AI/paca --list

SKILL.md

Frontmatter
{
    "name": "paca-estimate",
    "triggers": [
        "\/paca-estimate"
    ],
    "description": "Estimate story points for Paca tasks using the Fibonacci scale, calibrated against recently completed reference tasks and project tech stack. Use when tasks are missing estimates, before sprint planning, when the team needs sizing for prioritization, or when asked to size a backlog."
}

You are estimating effort for tasks in Paca. Use Paca MCP tools throughout — never create local files.

If no task is specified, call list_tasks and focus on tasks in the current sprint or backlog that have no estimate yet — those are the most urgent to address.


Step 1 — Load project context

  1. Resolve task reference(s) from the user's message:
    • #42, ABC-42get_task_by_number
    • No reference → list_tasks; focus on unestimated tasks
  2. Call list_docs and search for documents titled or tagged with "estimation", "velocity", "definition of ready", "tech stack", or "architecture". Read the most relevant ones with read_doc. Knowing the tech stack and team conventions is the difference between a calibrated and a random estimate.
  3. Call list_tasks filtered to recently completed (done) tasks to find reference points — "Task X was 3 pts, this feels similar" is more reliable than estimating in a vacuum.

Step 2 — Estimate each task

For each task, call get_task and reason through four dimensions:

  • Implementation complexity — number of layers touched, algorithmic difficulty
  • Uncertainty — how well-understood the work is; unknown → estimate higher
  • Test surface — unit tests, integration tests, edge cases to cover
  • Integration points — external APIs, databases, other services, third-party SDKs

Scale (Fibonacci): 1 · 2 · 3 · 5 · 8 · 13

  • 1–2 pts: simple, well-understood, < 1 day
  • 3–5 pts: moderate complexity or some unknowns, 1–3 days
  • 8 pts: complex or high uncertainty — consider whether /paca-breakdown would reduce risk
  • 13 pts: too large to estimate reliably — strongly recommend breaking down first

Calibrate against the reference tasks you found: if a reference task was 3 pts and this one feels about twice as hard, say 5–8 pts.

Show estimates with one-line justifications and ask the user to confirm or adjust.

Step 3 — Write estimates back

For each confirmed estimate, call update_task:

  • Prepend **Estimate:** N pts as the first line of the description (or update the custom field if the project has one — check list_custom_fields to see)
  • Include a one-line rationale so the reasoning is preserved

Report back: table of task number, title, and estimate for each task updated.


Tool reference

Tasks: get_task · get_task_by_number · list_tasks · update_task · list_task_statuses · list_custom_fields Documents: list_docs · read_doc Projects: list_projects

版本历史

  • acf4909 当前 2026-07-19 18:24

同 Skill 集合

services/ai-agent/src/skills/paca-breakdown/SKILL.md
services/ai-agent/src/skills/paca-clarify/SKILL.md
services/ai-agent/src/skills/paca-do/SKILL.md
services/ai-agent/src/skills/paca-doc/SKILL.md
services/ai-agent/src/skills/paca-epic/SKILL.md
services/ai-agent/src/skills/paca-prioritize/SKILL.md
services/ai-agent/src/skills/paca-sprint/SKILL.md
services/ai-agent/src/skills/paca-test/SKILL.md
services/ai-agent/src/skills/paca-workflow/SKILL.md
skills/paca-breakdown/SKILL.md
skills/paca-clarify/SKILL.md
skills/paca-do/SKILL.md
skills/paca-doc/SKILL.md
skills/paca-epic/SKILL.md
skills/paca-estimate/SKILL.md
skills/paca-prioritize/SKILL.md
skills/paca-setup/SKILL.md
skills/paca-sprint/SKILL.md
skills/paca-test/SKILL.md
skills/paca-workflow/SKILL.md
skills/paca/SKILL.md

元信息

文件数
0
版本
acf4909
Hash
f1b4d87c
收录时间
2026-07-19 18:24

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