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.
git clone --depth 1 https://github.com/OneWave-AI/claude-skills /tmp/hiring-scorecard && cp -r /tmp/hiring-scorecard/hiring-scorecard ~/.claude/skills/hiring-scorecardSKILL.md
# 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`.
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. 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.
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.
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.
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.
Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.
Generate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.
Generate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs. Creates OpenAPI/Swagger specs, REST API docs, and developer-friendly reference materials. Use when users need to document APIs, create technical references, or write developer documentation.