Tilmon Engineering
Official@tilmon-engineering · United States of America
Offers structured methodologies for relational database analysis, Git-based iteration tracking, and empirical research documentation.
Agent Skills by Tilmon Engineering
Showing 29 vetted skills indexed across 1 GitHub repositories.
tilmon-engineeringexploratory-analysis
Analyze unfamiliar data through a five-phase structured exploration workflow.
tilmon-engineeringunderstanding-data
Profile dataset structure, quality, and relationships with SQL-based checks.
tilmon-engineeringinterpreting-results
Interpret analysis results using a six-phase framework with structured reporting.
tilmon-engineeringwriting-queries
Develop SQL queries through phased design, coding, verification, and documentation.
tilmon-engineeringguided-investigation
Decompose open-ended questions into targeted sub-questions for data-driven investigations.
tilmon-engineeringusing-sqlite
Guide CLI-driven SQLite workflows for schema discovery, querying, and CSV import.
tilmon-engineeringpresenting-data
Convert data findings into reproducible presentations and reports using Marp and Pandoc.
tilmon-engineeringimporting-data
Import CSV data into SQLite through a five-phase auditable pipeline.
tilmon-engineeringcreating-visualizations
Generate terminal-based and Kroki image visualizations from data.
tilmon-engineeringcomparative-analysis
Compare groups across segments, cohorts, or time periods with materiality thresholds.
tilmon-engineeringmarketing-experimentation
Coordinate marketing experiments through six-phase Build-Measure-Learn workflows.
tilmon-engineeringdetect-foreign-keys
Detect and validate foreign key relationships across relational database tables.
tilmon-engineeringqualitative-research
Enforce reflexivity, intercoder reliability, and disconfirming-evidence checks across six qualitative research phases.
tilmon-engineeringcleaning-data
Clean and standardize messy datasets within DataPeeker analysis sessions.
tilmon-engineeringhypothesis-testing
Formulate and test hypotheses with structured phases and audit trails.
tilmon-engineeringcheckpointing-an-iteration
Append recent work and decisions to the active iteration journal.
tilmon-engineeringlisting-worktrees
Parse git worktree list --porcelain output and filter autonomy worktrees.
tilmon-engineeringanalyzing-branches
Extracts key findings, decisions, and insights from Git branch journals via read-only access.
tilmon-engineeringstarting-an-iteration
Load prior iteration context and initialize a new workspace with journal and TodoWrite tracker.
tilmon-engineeringforking-iteration
Create autonomy branches forked from git commits or tagged iterations.
tilmon-engineeringcomparing-branches
Compare two autonomy branches and report divergence, iterations, metrics, and outcomes.
tilmon-engineeringremoving-worktree
Remove an autonomy worktree while preserving the branch and commits.
tilmon-engineeringending-an-iteration
Document actions, decisions, and state changes in an iteration journal.
tilmon-engineeringlisting-branches
List autonomy/* branches and generate a Markdown table from git logs.
Frequently Asked Questions About Tilmon Engineering
FAQPage SchemaWhat specific tasks can I perform using Tilmon Engineering's methodologies?▼
You can execute structured data profiling, perform relational database schema discovery, manage parallel experimental branches via Git, and generate reproducible research reports. These methods enable rigorous hypothesis testing, qualitative research reflexivity, and auditable data pipelines for complex investigative tasks.
Which personas benefit most from these engineering practices?▼
Data analysts, research engineers, and technical leads who require high-fidelity audit trails for their investigative work will find these practices essential. The framework is designed for professionals managing multi-phase experiments who need to maintain consistency across complex, branching project iterations.
What are the prerequisites for implementing these iteration tracking methods?▼
Implementation requires a standard Git environment and basic familiarity with SQLite for data storage. Users should be prepared to maintain Markdown-based journals and follow the defined directory structures for worktrees to ensure compatibility with the provided iteration and progress reporting functions.