本文へ移動
cccskills
無料GitHub で公開

hiring-scorecard

Creates structured hiring scorecards for any role. Takes job title, requirements, and team context. Generates comprehensive scorecard with weighted scoring rubric, interview questions per competency, evaluation matrix, red/green flags, and reference check questions.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md2.8 KB
  • references/competency-library.md1.1 KB
  • references/output-template.md14.5 KB
  • references/usage-and-customization.md3.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Hiring Scorecard Generator

Build a structured, bias-reducing hiring scorecard that lets an interview panel make consistent, evidence-based decisions for any role.

Contents

  • references/output-template.md -- the full 9-section scorecard.md structure with every block, table, and per-section guideline.
  • references/competency-library.md -- which competencies to score by role type (technical IC, non-technical IC, manager, executive).
  • references/usage-and-customization.md -- how to use the output, focus modes, biases prevented, format adaptations, and legal/compliance reminders.

Inputs

Job Title and Requirements are required; ask before generating if either is missing. The rest sharpen the output: Team Context, Level/Seniority, Role Type, Industry, Interview Panel, Compensation Band, Urgency/Timeline.

Workflow

  1. Gather role context. Confirm job title, level, team structure, reporting line, and business need. Ask for missing required inputs.
  2. Define criteria. Separate must-have from nice-to-have qualifications, each specific and observable with a verification method. See references/output-template.md Section 2.
  3. Select competencies. Choose 6-10 competencies for the role using references/competency-library.md.
  4. Build the scoring rubric. Anchor each competency to the 1-5 behavioral scale. See references/output-template.md Section 3.
  5. Generate interview questions. Write 3-4 behavioral/situational questions per competency with follow-up probes and "what good/bad looks like". See references/output-template.md Section 4.
  6. Create the evaluation matrix. Produce the independent interviewer scoresheet. See Section 5.
  7. Identify flags. List 8-12 concrete red flags and 8-12 green flags tied to observable behavior. See Section 6.
  8. Draft reference checks. Produce targeted reference questions that surface real signal. See Section 7.
  9. Add debrief guide and appendix. Include the debrief agenda, decision framework, anti-bias checklist, scoring calculator, and panel/comparison templates. See Sections 8-9.
  10. Write the file. Output a single scorecard.md in the working directory (or a user-specified path), assembled from all nine sections and ready to hand to a panel without further editing.

For focus modes (technical, leadership, sales/GTM, creative, operations, culture-heavy), format adaptations, and legal/compliance reminders, see references/usage-and-customization.md.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.

日本語の概要は準備中です。原文の説明を表示しています。

OneWave-AI/claude-skills3402026年10月2日 更新

Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.

日本語の概要は準備中です。原文の説明を表示しています。

OneWave-AI/claude-skills3402026年10月2日 更新

Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.

日本語の概要は準備中です。原文の説明を表示しています。

OneWave-AI/claude-skills3402026年10月2日 更新

Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.

日本語の概要は準備中です。原文の説明を表示しています。

OneWave-AI/claude-skills3402026年10月2日 更新

Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.

日本語の概要は準備中です。原文の説明を表示しています。

OneWave-AI/claude-skills3402026年10月2日 更新

Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.

日本語の概要は準備中です。原文の説明を表示しています。

OneWave-AI/claude-skills3402026年10月2日 更新

OneWave-AI のスキルをすべて見る

このスキルの問題を報告する