Managing a product involves many moving parts, from understanding users and planning features to writing documents and keeping teams aligned. Handling all these tasks manually can take a lot of time and make it harder to focus on important product decisions. AI skills designed for product managers help simplify these workflows by supporting research, planning, prioritization, and daily product tasks. Keep reading to discover how these skills can help you work faster, stay organized, and improve your product management process.
What are AI skills for product manager?
AI product manager skills are specialized skill modules that help AI agents support product management workflows. They provide agents with structured instructions, processes, and knowledge for tasks such as market research, product planning, PRD creation, roadmap development, user story generation, feature prioritization, stakeholder communication, and product reporting. These reusable skills enable AI agents to assist with product management tasks more consistently and efficiently.
14 product manager skills you can use in Kimi
Product teams often manage multiple responsibilities at the same time, making it challenging to keep every task organized and on track. Kimi's AI skills are designed to support these daily workflows by helping product managers create documents, analyze information, plan projects, and improve decision-making. Explore these 14 product development skills in Kimi to simplify product operations.
| Skill name | Description |
|---|---|
| product-spec-writer | Transform one-line product ideas into complete PRD documents with user stories, feature lists, MoSCoW prioritization, and acceptance criteria. Trigger when users ask to 'write a PRD', 'turn this idea into a spec', 'flesh out requirements', or mention product requirements, user stories, feature breakdowns, or acceptance criteria. |
| story-map-builder | Generates an interactive HTML user story map visualizing product requirements in an Epic → Feature → Story structure, with MoSCoW priority tagging and Release swimlane grouping. Trigger when the user mentions story mapping, backlog visualization, MoSCoW priority, release planning, or asks to organize requirements into a story map. |
| pricing-strategy | Design, optimize, and communicate SaaS pricing — tier structure, value metrics, pricing pages, and price increase strategy. Use when building a pricing model from scratch, redesigning existing pricing, planning a price increase, or improving a pricing page. |
| gantt-planner | Generate interactive HTML Gantt charts with Critical Path Method (CPM) analysis from task lists and dependencies, highlighting the critical path and calculating float times. Use when the user asks to create a Gantt chart, schedule project tasks, analyze the critical path, visualize dependencies, or mention project timelines, milestones, or task scheduling. |
| campaign-plan | Generate a full campaign brief with objectives, audience, messaging, channel strategy, content calendar, and success metrics. Use when planning a product launch, lead-gen push, or awareness campaign, when you need a week-by-week content calendar with dependencies, or when translating a marketing goal into a structured, executable plan. |
| okr-strategist | OKR drafting, breakdown, and retrospective coach that helps users craft high-quality objectives and key results, decompose goals into actionable layers, and conduct periodic reviews. Use when the user mentions OKR, goal management, key results, drafting, breakdown, retrospective, review, alignment, quarterly goals, or asks for help writing, reviewing, or breaking down an OKR. |
| sprint-plan-builder | Agile Sprint planning assistant builds actionable plans by selecting scope based on team capacity and historical velocity, breaking down stories into estimated tasks, analyzing dependencies, and balancing workloads. Triggers when a user asks for Sprint Planning, iteration scoping, story/task assignment, workload balancing, dependency analysis, or team capacity calculation. |
| project-sizing-guide | Software project effort estimation assistant. Outputs three-point estimates (optimistic/most-likely/pessimistic values with confidence intervals), T-shirt sizes, or Function Point Analysis (FPA) counts. Triggered when users ask 'how long will this feature take,' they need to assess project workload, perform PERT estimation, T-shirt sizing, FPA, sprint planning, or quote-based effort breakdowns. |
| work-recap-writer | Turn scattered work notes and git logs into structured weekly or monthly reports in data-driven, narrative, or OKR-aligned styles. Triggered when the user mentions a weekly report, monthly report, work summary, sprint summary, status update, OKR progress, or needs to organize scattered records into a formal recap. |
| market-research-brief | Generate professional consulting-style market insight reports with data-driven analysis, executive summaries, and strategic recommendations. Triggers when users request market or industry analysis, competitive landscape reports, consumer behavior studies, or strategic documents in a top-tier consulting firm visual style. |
| audience-adaptive-comms | Adapt stakeholder communication to the target audience (CEO, VP, Tech Lead, or Operations), adjusting detail level, language, and focus. Output tailored emails, briefings, or slide outlines. Trigger when a user asks for an executive briefing, stakeholder update, project status report for leadership, cross-team sync, or mentions writing to a VP, CEO, or tech lead. |
| weighted-scorer | Builds weighted scoring decision matrices for technology selection, vendor evaluation, and multi-criteria option comparisons. Guides you through defining criteria, assigning weights, scoring options, and validating results with sensitivity analysis. Trigger when users ask about decision matrices, weighted scoring, comparing options, vendor selection, or build vs. buy choices. |
| process-doc | Document a business process — flowcharts, RACI, and SOPs. Use when formalizing a process that lives in someone's head, building a RACI to clarify who owns what, writing an SOP for a handoff or audit, or capturing the exceptions and edge cases of how work actually gets done. |
| regulatory-audit-generator | Builds compliance checklists for business scenarios involving GDPR, PIPL, or advertising/data laws. Outputs a structured checklist with checked items, legal basis, risk levels, and actionable recommendations. Triggered by requests like "run a compliance check," "GDPR/PIPL compliance," "pre-launch review," "privacy impact assessment (PIA/DPIA)," or asking if a feature is compliant. |
Use AI product manager skills in Kimi
Kimi lets you use built-in skills to simplify product development workflows, from creating PRDs and planning roadmaps to organizing requirements and analyzing market insights. Here's how you can get started with these skills in Kimi.
Step 1: Enter a skill command
Type a relevant skill command in the Kimi chat box to activate the product manager skill you need. You can use skills for tasks such as writing product specifications, creating user stories, planning sprints, or preparing market research reports.
Step 2: Start your research task
Describe your requirements, goals, or product challenges, and Kimi will apply the selected skill to generate useful outputs for your workflow.
Example prompt:
Kimi then processes your request and creates structured results, such as product documents, planning frameworks, or analysis reports based on the selected skill.
Step 3: Check and download your document
Review the generated content, refine details if needed, and download the completed document to share with your team or use in your product workflow.
Add 10 more open-source agent skills for product manager
Beyond Kimi's built-in skills, open-source communities offer additional skill frameworks for research, planning, strategy, and execution. Explore these 10 open-source senior product manager skills to expand your workflow and improve product management tasks with AI.
| Skill name | Description | URL |
|---|---|---|
| product-manager-skills | A comprehensive PM operator skill with 12 knowledge domains covering discovery, strategy, PRD writing, SaaS finance metrics (32 metrics with deterministic calculator), growth/PLG, career coaching, AI product craft, pricing, launch/GTM, analytics, and stakeholder communications. Includes 8 slash commands and a framing gate that pushes back on bad inputs. | https://github.com/Digidai/product-manager-skills |
| pm-skills | 68 plug-and-play product management skills organized around the Triple Diamond framework (Discover, Define, Develop, Deliver, Measure, Iterate). Includes 30 phase skills, 8 foundation skills, 12 utility skills, and 15 tool skills for Foundation Sprint and Design Sprint methodologies. Apache 2.0 licensed. | https://github.com/product-on-purpose/pm-skills |
| product-manager-skills | 49+ skills framework built on battle-tested PM methods including problem framing, positioning, stakeholder mapping, discovery interviews, opportunity solution trees, prioritization (RICE/ICE/Kano), roadmap planning, PRD development, user stories, and press releases. Includes workflow, interactive, and component skill types. | https://github.com/deanpeters/Product-Manager-Skills |
| pm-skills-marketplace | 100+ agentic skills across 9 plugins covering the full PM lifecycle: product discovery (ideation, experiments, assumption testing), product strategy (business models, value propositions, market scan), execution (PRDs, OKRs, roadmaps, sprints), market research (personas, journey maps, competitor analysis), and go-to-market (ICPs, growth loops, battlecards). | https://github.com/phuryn/pm-skills |
| builder-skills | Open-source AI skills for product managers battle-tested by PMs at Amplitude. Includes product skills (7-power analysis, Amazon working backwards, PR/FAQ, spec writing, experiment design, discovery synthesis, user stories, JTBD, Mom Test, pre-mortem, RICE prioritization, competitor monitoring) and launch skills (launch strategy, tweets, emails, blog posts, landing pages, distribution). | https://github.com/amplitude/builder-skills |
| lenny-skills | 86 product management skills distilled from 100+ episodes of Lenny's Podcast featuring frameworks from top PM leaders. Covers hiring, user research, strategy, shipping, growth, pricing, stakeholder alignment, OKRs, PRDs, product vision, competitive analysis, retention, and AI product strategy. | https://github.com/RefoundAI/lenny-skills |
| product-business-finance | Portable Markdown skill for AI vibe coding with product, business, and finance decisions. Includes modules for pricing strategy (willingness-to-pay, value metric design), product management (strategy, roadmap, discovery, prioritization, requirements), and startup analysis (market sizing, business model review, risk assessment). | https://github.com/arpitexplores/super-product-business-finance |
| product-manager-skill | Turns AI into a junior/associate PM producing stakeholder-ready deliverables including PRDs, user stories with acceptance criteria, RICE prioritization, competitive analysis, sprint planning with capacity tracking, GTM briefs, feedback synthesis, and meeting support. | https://github.com/jackreacher80/product-manager-skill |
| pm-skills | Full PM toolkit tuned for the AI product landscape with workflow skills (PRD writer, prioritization matrix, user research synthesis, launch checklist, stakeholder brief, metric dashboard) and product thinking skills (product sense, strategy, analytical PM, technical PM, behavioral PM). Includes AI industry skills for product teardowns and competitive analysis. | https://github.com/aroyburman-codes/pm-skills |
| marketing-product-skills | Platform-neutral skill pack for product strategy, growth, activation, analytics, experimentation, positioning, launch planning, SEO, and pricing. Includes 10 skills: north-star metric, event tracking plan, onboarding activation audit, retention diagnosis, experiment design readout, positioning messaging, customer discovery JTBD synthesis, SEO content brief, launch plan, and pricing packaging hypothesis. | https://github.com/45ck/marketing-product-skills |
Use external product manager skills with Kimi
You can extend Kimi's capabilities by adding external skills from open-source repositories. Simply provide the skill source, let Kimi configure it, and start using it for product planning, research, documentation, and other workflows. Here's how you can do it easily.
Step 1: Enter a prompt
Open Kimi Chat and provide a prompt with the link to the external product manager skill you want to add.
Example prompt:
Step 2: Let AI install the skill automatically
Kimi analyzes the provided source, configures the skill, and prepares it for use in your workspace. Once installed, the skill becomes available for your product management tasks.
Step 3: Use the skill
Activate the installed skill and enter your product request. Kimi can then help with tasks such as creating PRDs, prioritizing features, analyzing markets, planning roadmaps, and preparing product documents.
Unlock greater flexibility: Create your own AI skills with Kimi
Kimi allows you to create personalized AI skills by transforming your own files into reusable tools. Whether you have product documents, guidelines, or other reference materials, you can convert them into custom skills tailored to your specific needs. Follow these steps to build your own skill in Kimi using a document.
Step 1: Access the "Document to skills" tool
Open the Kimi Skills section and select the "Document to skills" option to start creating a custom AI skill from your own materials.
Step 2: Upload the files
Add the documents, templates, or reference materials you want Kimi to use. Kimi analyzes the uploaded files and converts their information into a structured skill that can support future tasks.
Step 3: Create and use your skills
After processing, your personalized skill is ready to use. Apply it to related tasks and let Kimi generate outputs based on your preferred workflows and saved knowledge.
Kimi's "Edit" feature makes it easy to maintain and improve skills over time, helping AI agents adapt to updated processes, new resources, and changing goals.
Tips for using AI agent skills as product managers
Using AI in product management requires more than just selecting a tool. The right approach helps teams get better results by providing clear context, organizing workflows, and customizing AI support for different stages of product development. These tips will help you use your product manager skills more effectively.
Define the product goal before starting
Provide clear objectives, target users, business goals, and success metrics before using AI for product tasks. This helps AI understand your product direction and generate more relevant plans, recommendations, and strategies that align with your goals and expected outcomes.
Include customer feedback and market insights
Upload user interviews, support tickets, analytics, and competitor research to help AI understand customer needs and market trends. These insights help identify pain points, prioritize features, and discover new product opportunities with better accuracy.
Use structured prompts for product documents
Create clear prompts for generating PRDs, user stories, feature specifications, release notes, and product briefs. Structured prompts help AI deliver consistent, organized outputs that are easier for teams to review and use effectively.
Customize skills for different product workflows
Build dedicated AI skills for roadmap planning, backlog prioritization, sprint planning, stakeholder updates, and product launches. Specialized skills provide better support than relying on a single general-purpose assistant for every workflow.
Review AI-generated priorities with your team
Use AI to suggest feature priorities and roadmap ideas, but review recommendations with your team before making decisions. Validate outputs against business goals, technical limits, and customer needs for better product outcomes.
Combine multiple AI skills throughout the product lifecycle
Connect research, documentation, analysis, and presentation skills to support workflows from market research and planning to launches and reporting. Combining skills helps teams save time and maintain consistency across different product tasks.
Conclusion
AI is changing how product teams manage ideas, decisions, and daily workflows by making complex tasks easier to handle. With the right approach, product manager skills can level up AI's capabilities to help teams improve efficiency, maintain better organization, and support smarter product decisions. As product needs continue to evolve, using flexible AI solutions can help teams adapt faster and work more effectively. Try Kimi today to create, customize, and use AI skills that fit your product management workflow.