opportunity-report-next-steps-one — for Claude Code opportunity-report-next-steps-one, career-path-2026, community, for Claude Code, ide skills, career-planning, job-search, next_action, next_action_date, contacts[]

v1.0.0
GitHub

关于此技能

适用场景： Ideal for AI agents that need report — next steps for one opportunity. 本地化技能摘要： Design your career path: benchmark roles, track progress, execute weekly with data-driven insights. It covers career-planning, job-search, productivity workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

Report — next steps for one opportunity
Role: Assistant — career / opportunity tracking (see docs/AGENT ROLES.md).
data/private/opportunities.yaml (private)
Output skeleton: templates/opportunity report next steps one.md
Select the record by id : <OPPORTUNITY ID (or company + role if user specifies — resolve ambiguity).

# 核心主题

for Claude Code career-planning job-search next_action next_action_date contacts[]
ferez96 ferez96
[4]
[0]
更新于: 4/29/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
39
Canonical Locale
en
Detected Body Locale
en

适用场景： Ideal for AI agents that need report — next steps for one opportunity. 本地化技能摘要： Design your career path: benchmark roles, track progress, execute weekly with data-driven insights. It covers career-planning, job-search, productivity workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明： opportunity-report-next-steps-one helps agents report — next steps for one opportunity. Design your career path: benchmark roles, track progress, execute weekly with data-driven insights. This AI agent skill

适用 Agent 类型

适用场景： Ideal for AI agents that need report — next steps for one opportunity.

↓ 赋予的主要能力 · opportunity-report-next-steps-one

适用任务： Applying Report — next steps for one opportunity
适用任务： Applying Role: Assistant — career / opportunity tracking (see docs/AGENT ROLES.md)
适用任务： Applying data/private/opportunities.yaml (private)

! 使用限制与门槛

  • 限制说明： Output: Markdown for reports/private/opportunity-next-steps-<id -<YYYY-MM-DD .md or paste-only.
  • 限制说明： Output: Markdown for reports/private/opportunity-next-steps-<id -<YYYY-MM-DD .md or paste-only
  • 限制说明： Do not add general career advice, invented timelines, or assumed details not present in the data

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作，再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”，而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核，以及是否已经进入工作流落地阶段。

安装路径

先进入安装与验证

如果这项技能值得继续，下一步应该先确认安装命令、CLI 写入路径与环境验证。
可信复核

回到可信合集再做一次复核

如果你还在比较不同技能或供应方，先回到可信合集做二次判断，而不是继续放大仓库噪音。
工作流

如果要进团队流转，转到工作流集合

当你的目标已经不是单个技能，而是团队协作、审批和可重复执行，就应该转到工作流合集继续比较。
实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致，便于搜索引擎理解页面内容。

? FAQ

opportunity-report-next-steps-one 是什么？

适用场景： Ideal for AI agents that need report — next steps for one opportunity. 本地化技能摘要： Design your career path: benchmark roles, track progress, execute weekly with data-driven insights. It covers career-planning, job-search, productivity workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 opportunity-report-next-steps-one？

运行命令：npx killer-skills add ferez96/career-path-2026/opportunity-report-next-steps-one。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

opportunity-report-next-steps-one 适用于哪些场景？

典型场景包括：适用任务： Applying Report — next steps for one opportunity、适用任务： Applying Role: Assistant — career / opportunity tracking (see docs/AGENT ROLES.md)、适用任务： Applying data/private/opportunities.yaml (private)。

opportunity-report-next-steps-one 支持哪些 IDE 或 Agent？

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

opportunity-report-next-steps-one 有哪些限制？

限制说明： Output: Markdown for reports/private/opportunity-next-steps-<id -<YYYY-MM-DD .md or paste-only.；限制说明： Output: Markdown for reports/private/opportunity-next-steps-<id -<YYYY-MM-DD .md or paste-only；限制说明： Do not add general career advice, invented timelines, or assumed details not present in the data。

↓ 安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行：npx killer-skills add ferez96/career-path-2026/opportunity-report-next-steps-one。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    opportunity-report-next-steps-one 已启用，可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考，但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论，再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

opportunity-report-next-steps-one

安装 opportunity-report-next-steps-one，这是一款面向AI agent workflows and automation的 AI Agent Skill。查看评审结论、使用场景与安装路径。

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Report — next steps for one opportunity

Role: Assistant — career / opportunity tracking (see docs/AGENT_ROLES.md).

Context to load:

  • data/private/opportunities.yaml (private)
  • Output skeleton: templates/opportunity_report_next_steps_one.md

Task:

  1. Select the record by id: <OPPORTUNITY_ID> (or company + role if user specifies — resolve ambiguity).
  2. Produce Snapshot + Next actions from next_action, next_action_date, notes, stage.
  3. Populate Contacts table from contacts[]; if empty, write "None recorded."
  4. Populate Check here (manual) table from links; if empty, write "None recorded."
  5. Add Blockers / risks from notes and stage.
  6. Add Suggested 24–72h moves aligned with the workflow style in docs/cursor/workflows.md (Workflow 2).
  7. Assumptions / Risk.

Output: Markdown for reports/private/opportunity-next-steps-<id>-<YYYY-MM-DD>.md or paste-only.

Constraints:

  • Full detail stays private; sanitize before any public reports/briefs/ excerpt.
  • Do not fabricate. Every sentence in the report must be traceable to a field in the YAML record (stage, next_action, notes, history, contacts, links). Do not add general career advice, invented timelines, or assumed details not present in the data.
  • Missing data → state it explicitly. If a section has no supporting data, write "No data recorded." Do not fill the gap with plausible-sounding content.
  • Assumptions section is mandatory. Any interpretation beyond a direct field read (e.g. deriving a blocker from stage logic, suggesting a move based on recruiter note wording) must be listed there, clearly labeled as an inference.

My inputs (collect, confirm, or ask):

  • If opportunity id (or company + role) is not in memory, chat, or unambiguous from opportunities.yaml: ask before generating the report.
  • If you infer id from company + role: state the resolved id and ask the user to confirm or correct before final output.
  • Opportunity id (or company + role): <...>

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