firefrost-gaming/claude-skills-reference

Files

Reza Rezvani 2f57ef8948 feat(agenthub): add AgentHub plugin with cross-domain examples, SEO optimization, and docs site fixes

- AgentHub: 13 files updated with non-engineering examples (content drafts,
  research, strategy) — engineering stays primary, cross-domain secondary
- AgentHub: 7 slash commands, 5 Python scripts, 3 references, 1 agent,
  dry_run.py validation (57 checks)
- Marketplace: agenthub entry added with cross-domain keywords, engineering
  POWERFUL updated (25→30), product (12→13), counts synced across all configs
- SEO: generate-docs.py now produces keyword-rich <title> tags and meta
  descriptions using SKILL.md frontmatter — "Claude Code Skills" in site_name
  propagates to all 276 HTML pages
- SEO: per-domain title suffixes (Agent Skill for Codex & OpenClaw, etc.),
  slug-as-title cleanup, domain label stripping from titles
- Broken links: 141→0 warnings — new rewrite_skill_internal_links() converts
  references/, scripts/, assets/ links to GitHub source URLs; skills/index.md
  phantom slugs fixed (6 marketing, 7 RA/QM)
- Counts synced: 204 skills, 266 tools, 382 refs, 16 agents, 17 commands,
  21 plugins — consistent across CLAUDE.md, README.md, docs/index.md,
  marketplace.json, getting-started.md, mkdocs.yml
- Platform sync: Codex 163 skills, Gemini 246 items, OpenClaw compatible

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-17 12:10:46 +01:00

2.6 KiB

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title, description

title	description
Interview System Designer — Agent Skill for Codex & OpenClaw	This skill should be used when the user asks to 'design interview processes', 'create hiring pipelines', 'calibrate interview loops', 'generate. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw.

Interview System Designer

:material-rocket-launch: Engineering - POWERFUL :material-identifier: `interview-system-designer` :material-github: Source

Install: claude /plugin install engineering-advanced-skills

Comprehensive interview loop planning and calibration support for role-based hiring systems.

Overview

Use this skill to create structured interview loops, standardize question quality, and keep hiring signal consistent across interviewers.

Core Capabilities

Interview loop planning by role and level
Round-by-round focus and timing recommendations
Suggested question sets by round type
Framework support for scoring and calibration
Bias-reduction and process consistency guidance

Quick Start

# Generate a loop plan for a role and level
python3 scripts/interview_planner.py --role "Senior Software Engineer" --level senior

# JSON output for integration with internal tooling
python3 scripts/interview_planner.py --role "Product Manager" --level mid --json

Recommended Workflow

Run scripts/interview_planner.py to generate a baseline loop.
Align rounds to role-specific competencies.
Validate scoring rubric consistency with interview panel leads.
Review for bias controls before rollout.
Recalibrate quarterly using hiring outcome data.

References

references/interview-frameworks.md
references/bias_mitigation_checklist.md
references/competency_matrix_templates.md
references/debrief_facilitation_guide.md

Common Pitfalls

Overweighting one round while ignoring other competency signals
Using unstructured interviews without standardized scoring
Skipping calibration sessions for interviewers
Changing hiring bar without documenting rationale

Best Practices

Keep round objectives explicit and non-overlapping.
Require evidence for each score recommendation.
Use the same baseline rubric across comparable roles.
Revisit loop design based on quality-of-hire outcomes.

2.6 KiB Raw Blame History