Bruno Lima Soares
Community@BrunoL28 · Brazil, Belo Horizonte
Systems Engineering | UFMG
Agent Skills by Bruno Lima Soares
Showing 20 vetted skills indexed across 1 GitHub repositories.
problem-statement
Write user-centered problem statements capturing persona, outcome, barrier, root cause, and emotional impact.
company-research
Generate sourced company research briefs with executive quotes, product strategy, and organizational context.
tam-sam-som-calculator
Sizes markets with reconciled top-down and bottom-up TAM, SAM, and SOM models.
prd-development
Generate a structured PRD consolidating problem, personas, requirements, and architecture decisions.
product-onboarding
Orchestrates nineteen product-management skills across six gated phases from idea to backlog.
workshop-facilitation
Facilitate structured working sessions with question budgets, speaking order, dot voting, and dissent recording.
pestel-analysis
Analyze political, economic, social, technological, environmental, and legal forces affecting a product.
opportunity-solution-tree
Builds an opportunity solution tree from a stakeholder request through facilitated discovery questions.
epic-hypothesis
Frames an epic as a falsifiable hypothesis with confirming signals, kill thresholds, and a cheapest validation test.
positioning-workshop
Facilitates a structured workshop producing a positioning statement and differentiation worksheet.
proto-persona
Create a proto-persona canvas from existing research, market signals, and team knowledge.
jobs-to-be-done
Facilitates a Jobs-to-be-Done workshop producing a structured canvas with job statements, forces, pains, and outcome statements.
product-strategy-session
Stress-test product artifacts through coherence checks, premortems, and a decision log.
user-story
Create user stories in Mike Cohn format with Gherkin acceptance criteria and story maps.
prioritization-advisor
Selects a prioritization framework and scores backlogs with evidence-labeled inputs and sensitivity analysis.
roadmap-planning
Convert a ranked backlog into a sequenced outcome-driven product roadmap with dependency mapping.
write-spec
Writes structured feature specs with goals, non-goals, P0 requirements, and success metrics.
pol-probe-advisor
Match a validation probe to a product assumption with a pre-registered kill criterion.
lean-ux-canvas
Guides teams through Lean UX Canvas v2 to frame business problems and test assumptions.
epic-breakdown-advisor
Break down oversized epics into vertical user stories using Humanizing Work split patterns.
Frequently Asked Questions About Bruno Lima Soares
FAQPage SchemaWhat tasks can I accomplish with BrunoL28's product management skills?▼
You can run end-to-end product discovery, write problem statements and PRDs, build proto-personas and jobs-to-be-done frames, size markets with TAM-SAM-SOM, score backlogs with RICE, ICE, Kano, MoSCoW, or WSJF, break epics into Gherkin-based user stories, and produce sequenced roadmaps with decision logs.
Who are these skills designed for?▼
Product managers, product owners, founders, and strategy leads who need to frame discovery, validate assumptions before building, align stakeholders on prioritization, or turn vague feature requests into engineering-ready specifications and outcome-bearing roadmaps.
How does the product-onboarding skill work in practice?▼
It orchestrates nineteen bundled skills across six phases: Framing, Discovery, Requirements and Validation, PRD writing, Delivery Planning, and a closing Product Strategy Session. It produces consistent markdown deliverables and can push resulting cards to a development board.
What prerequisites or inputs do these skills require?▼
Most skills need only a product idea, feature request, or existing research notes. The product-strategy-session requires prior artifacts (positioning, problem statement, PRD, backlog, roadmap), while pol-probe-advisor expects a named assumption from a Lean UX Canvas or opportunity solution tree.
Do these skills support assumption testing before committing engineering effort?▼
Yes. The epic-hypothesis skill frames epics as falsifiable hypotheses with confirmation and stop signals, while pol-probe-advisor matches a Proof of Life probe to each assumption with a kill criterion written before the test runs, preventing premature build commitments.