--- name: fair-hiring-workflow-small-teams description: A practical, repeatable hiring workflow for founders and small teams without dedicated HR. Move from role scoping to a clear job description, structured interviews, consistent evidence-based scorecards, and a documented debrief. Includes prompts, templates, fairness checks, and guidance for keeping human judgment in control—without ranking candidates automatically or inferring protected traits. license: MIT compatibility: Works with instruction-following AI assistants. No external tools, integrations, or candidate data access are required; users provide role and process information in the conversation. ---
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fair-hiring-workflow-small-teams
A practical, repeatable hiring workflow for founders and small teams without dedicated HR. Move from role scoping to a clear job description, structured interviews, consistent evidence-based scorecards, and a documented debrief. Includes prompts, templates, fairness checks, and guidance for keeping human judgment in c…
- Instant access
- MIT licensed
- Free updates
One file, ready to install
The body stays locked until purchase — here is precisely what unlocks.
Tool permissions not declared
No allowed-tools list, so whatever your runtime permits by default applies.
What you install
A skill directory you can read the head of before you trust it.
- The SKILL.md file itself1 file · 6.2 KB
- Its frontmatter, exactly as publishedReadable in full above before you buy — only the body is held back.
- Stated runtimesWorks with instruction-following AI assistants. No external tools, integrations, or candidate data access are required; users provide role and process information in the conversation.
- Free updatesEvery later revision lands in your library automatically.
- SKILL.md 6.2 KB · 1.2K tk
What it costs to keep loaded
A skill loads in stages — the index entry is always resident, the body only when the skill fires.
Counted with a general-purpose tokenizer, so a particular runtime will differ by a few percent. The skill makes no model call of its own, so there are no output tokens to pay for beyond the reply you were already getting.
Specifics and common questions
- Version
- v1
- Licence
- MIT
- Allowed tools
- Not declared
- Ships as
- 1 file · 6.2 KB
- Runs in
- Works with instruction-following AI assistants. No external tools, integrations, or candidate data access are required; users provide role and process information in the conversation.
- Spec
- agentskills.io v1
- Context cost
- 1,189 tokens78 always resident · the rest only when the skill fires.
- Published
- Oct 7, 2026
- Reviews
- No reviews yet
Experimental bio with extra words.
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What does fair-hiring-workflow-small-teams do?
A practical, repeatable hiring workflow for founders and small teams without dedicated HR. Move from role scoping to a clear job description, structured interviews, consistent evidence-based scorecards, and a documented debrief. Includes prompts, templates, fairness checks, and guidance for keeping human judgment in control—without ranking candidates automatically or inferring protected traits.
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Who is fair-hiring-workflow-small-teams best for?
fair-hiring-workflow-small-teams is built for careers-hr use cases and is particularly useful for hiring, recruiting, small-teams, structured-interviews, fair-hiring, and founders.
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How much does fair-hiring-workflow-small-teams cost?
fair-hiring-workflow-small-teams is free to claim on Sigrix.
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How do I use fair-hiring-workflow-small-teams?
fair-hiring-workflow-small-teams is delivered as a portable SKILL.md module you own on Sigrix. Drop it into Claude Code, claude.ai, or the Claude API and tailor the instructions to your own workflow.
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