ashby-pipeline
This skill should be used when the user asks to "view pipeline", "show hiring funnel", "candidate pipeline", "recruiting stages", "move candidate", or wants to view and manage the recruiting pipeline for a job in Ashby.
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This skill should be used when the user asks to "view pipeline", "show hiring funnel", "candidate pipeline", "recruiting stages", "move candidate", or wants to view and manage the recruiting pipeline for a job in Ashby.
Analyze a feature request and advise on the best Ralph approach for extending an existing Ralph-built application. Use when planning new features, considering enhancements, or deciding how to add functionality. Triggers on: ralph enhance, extend ralph app, add feature to ralph project, how should I add, plan enhancement, enhance this app.
Guide users through structured dialogue to transform vague ideas into clear, actionable product concepts. Uses one-question-at-a-time approach with multiple choice options. Use this skill when: - User says "I have an idea", "I want to build", "let me think about" - User mentions "brainstorm", "explore ideas", "think through" - Requirements are vague, incomplete, or user seems unsure what they want - Need to explore problem space before jumping to solutions - Running /pm.plan but requirements are unclear or missing context - User asks "what should I build?", "how should this work?" Process: Ask ONE question at a time, prefer multiple choice, explore 2-3 approaches before settling.
Create GitLab issues through conversational brainstorming. Use when user wants to capture ideas, features, bugs, or work items as GitLab tickets. Supports linking related issues, label management, and iterative refinement through dialogue.
Reviews feature specifications for completeness, testability, and implementation readiness. Validates acceptance criteria, edge cases, and technical constraints. Use when reviewing feature specs before implementation or during sprint planning.
Validates complete requirements traceability across EARS requirements → design → tasks → code → tests. Trigger terms: traceability, requirements coverage, coverage matrix, traceability matrix, requirement mapping, test coverage, EARS coverage, requirements tracking, traceability audit, gap detection, orphaned requirements, untested code, coverage validation, traceability analysis. Enforces Constitutional Article V (Traceability Mandate) with comprehensive validation: - Requirement → Design mapping (100% coverage) - Design → Task mapping - Task → Code implementation mapping - Code → Test mapping (100% coverage) - Gap detection (orphaned requirements, untested code) - Coverage percentage reporting - Traceability matrix generation Use when: user needs traceability validation, coverage analysis, gap detection, or requirements tracking across the full development lifecycle.
Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.
Generate user-story-organized task lists from implementation plans. Use when plan exists and user is ready for implementation, mentions "create tasks", "break down work", or asks "what tasks are needed" to implement the feature.
Product Manager persona for business vision and strategy. ACTIVATE when messages contain PRD, roadmap, business impact, ROI, metrics, stakeholder, product vision, business strategy, business case, go-to-market, or product planning discussions.
Automatically bridge long technical sessions to keep context window small and costs low. Extracts key technical decisions, resolved bugs, active tasks, and essential code snippets from conversation history into a compact markdown summary (2,000–5,000 tokens). Use when reaching a project phase milestone, when Claude warns the context window is getting full, or to start a fresh session with minimal token cost while maintaining continuity.
LLM-only skill that analyzes a snapshot of a single disk or partition and generates a safe, structured cleanup plan. Identifies obvious junk, heavy folders, and proposes step-by-step actions to reclaim space without risking important data.
Create a Linear Project from requirements using Discovery Mode brainstorming. Same process as /spec but outputs to Linear instead of file. Triggers - linear spec, spec to linear, create project from spec, linear project.
Validate skills against production-level criteria. Use when reviewing, auditing, or improving skills to ensure they meet quality standards. Evaluates structure, content quality, user interaction patterns, documentation completeness, domain standards compliance, and technical robustness. Returns actionable validation report with scores and improvement recommendations.
Manage iOS delivery builds to QC testing with GitLab pipeline creation and issue management. Supports develop, delivery, bugfix, and redelivery modes. Use when "create delivery", "delivery build", "build for qc", "send to testing", or "deliver build".
Comprehensive user journey analysis with multi-flow comparison
Create comprehensive implementation plans for engineers with minimal codebase knowledge. This skill should be used when breaking down features into detailed, step-by-step implementation guides following TDD principles.
[74] CLOSE. Quick checkpoint during active work when context is running low. Use multiple times per development cycle to preserve progress and lessons. Lighter than close-session — no full handoff needed. Triggers on 'save progress', 'checkpoint', 'context low', or automatically when nearing token limits.