innFactory AI
Official@innfactory-ai · Germany
Engineering AI. Enabling Tomorrow.
Agent Skills by innFactory AI
Showing 76 vetted skills indexed across 2 GitHub repositories.
call-prep-skill
Generates sales call briefs from CRM, calendar, and email context.
deal-strategy-skill
Maps deal stakeholders, scores influence, and generates engagement strategies and mutual action plans.
account-research-skill
Generates sales account briefings with signals, key contacts, and conversation hooks.
forecast-skill
Generates weighted sales revenue forecasts with risk flags, commit recommendations, and gap-to-quota analysis.
pipeline-review-skill
Diagnose sales pipeline health and generate prioritized weekly action plans using BANT and MEDDPICC frameworks.
outreach-skill
Researches prospects and drafts personalized multi-channel outreach messages and follow-up sequences.
battlecard-skill
Creates competitive battlecards with FIA structure, objection handling, and win/loss analysis.
call-summary-skill
Extracts action items, objections, and key topics from sales call transcripts and drafts follow-up emails.
sales-asset-skill
Generates deal-specific sales collateral including one-pagers, case studies, and demo narratives.
interview-guide-skill
Creates structured interview guides with behavioral scorecards, debrief methodology, and bias-mitigation frameworks.
employee-onboarding-skill
Creates personalized onboarding checklists and 30/60/90-day plans for new employees.
learning-plan-skill
Creates role-specific learning and development plans from skill gaps and career frameworks.
compensation-skill
Reviews compensation decisions against salary bands, compa-ratios, and EU pay transparency requirements.
job-description-skill
Writes and audits inclusive job descriptions with levelling logic and EU pay transparency compliance.
performance-review-skill
Drafts fair performance reviews with calibration guidance and goal-setting frameworks.
ai-search-skill
Retrieves knowledge from a companyRAG collection using ai-search MCP tools with cited answers.
dataset-skill
Analyzes companyRAG dataset tables with DuckDB SELECT queries via ai-search MCP tools.
compliance-tracking-skill
Tracks compliance gaps, remediation items, and audit readiness against frameworks and policies.
process-doc-skill
Documents business processes with step-by-step workflows, RACI matrices, and exception handling.
capacity-planning-skill
Plans staffing and resource capacity with demand forecasting and utilization analysis.
risk-assessment-skill
Generates risk registers, severity-likelihood matrices, mitigation plans, and periodic review reports.
change-management-skill
Plans organizational change initiatives with stakeholder analysis, communication planning, and adoption tracking.
status-report-skill
Generates cross-functional project status reports with RAG ratings, risk tracking, and audience-specific formatting.
runbook-skill
Creates operational runbooks and SOPs with step-by-step procedures, decision trees, and escalation paths.
Frequently Asked Questions About innFactory AI
FAQPage SchemaWhat specific documentation tasks are enabled by these capabilities?▼
These capabilities enable the generation of bilingual documentation pages and tutorials. Users can register content with specific frontmatter, map sidebar navigation structures, and integrate instructional material directly into Astro-based environments for consistent enterprise knowledge distribution.
Which personas benefit from these documentation engineering skills?▼
Technical writers, documentation engineers, and knowledge managers benefit from these skills. They are designed for teams maintaining bilingual technical repositories who require standardized scaffolding to ensure consistent metadata, sidebar mapping, and configuration across all instructional assets.
What are the prerequisites for implementing these documentation structures?▼
Implementation requires an existing Astro-based project environment. Users must ensure their project structure supports frontmatter parsing and sidebar mapping configurations, as the registration process relies on specific integration within the astro.config.mjs file to correctly render the generated bilingual content.