Aaddrick
Community@aaddrick · Ottawa, Ontario
Aaddrick provides psycholinguistic text-corpus analysis, stylometric voice profiling, and GitHub-centric development orchestration skills for Claude Code environments.
Agent Skills by Aaddrick
Showing 53 vetted skills indexed across 3 GitHub repositories.
aaddrickcontent-hydration
Fetches and joins linked Reddit content into enriched CSVs for downstream analysis.
aaddricktaxonomic-interest-classification
Classify text corpora against hierarchical taxonomies to measure interest diversity and profile breadth.
aaddricktemporal-circadian-patterns
Analyzes timestamped activity data to detect circadian rhythms, weekly cycles, bursts, and engagement styles.
aaddrickregister-variation-code-switching
Compares writing feature distributions across contexts to classify register as stable or context-dependent.
aaddricksupplementary-engagement
Correlates sentiment with engagement metrics, maps thread depth, and audits corpora for PII exposure.
aaddrickmdpi-hypernetwork-archetype
Classify users into eight behavioral archetypes using Score, Sentiment, and Toxicity axes.
aaddrickstylometric-fingerprinting
Extract a stable stylometric fingerprint from text corpora using function word frequencies and sentence structure distributions.
aaddrickrhetorical-discourse-structure
Analyzes argument ordering, discourse markers, and rhetorical devices in text corpora for voice replication.
aaddrickpipeline-summary-report
Synthesizes completed pipeline analysis reports into a unified executive summary document.
aaddrickweighted-engagement-scoring
Combines normalized engagement metrics into a weighted composite score for ranking content.
aaddrickcsv-metadata-forensic
Reconstruct user activity timelines by cross-referencing metadata headers across multiple CSV export files.
aaddrickbig-five-personality
Infers Big Five personality traits from text corpora and maps them to writing style constraints.
aaddricknetwork-social-graph
Builds directed interaction graphs from reply chains to analyze reciprocity, interlocutors, and voice shifts.
aaddricknmf-topic-modeling
Extract latent topics from text corpora using NMF on TF-IDF matrices.
aaddricktaxonomic-shift-detection
Detect interest migration in categorized content timelines using Jensen-Shannon Divergence and change point detection.
aaddrickvader-sentiment-analysis
Scores sentiment in social media text using VADER with multi-tier and longitudinal trajectory analysis.
aaddrickspeech-act-pragmatic
Classifies corpus texts by speech act type to build a pragmatic signature for voice replication.
aaddricksubagent-instruction-operationalization
Converts style specification analyses into structured LLM subagent prompts that replicate a target writing voice.
aaddrickllm-relevance-scoring
Scores text corpus items for relevance and authority using LLM judges with calibrated rubrics.
aaddrickcat-linguistic-style-matching
Computes Linguistic Style Matching scores from function-word frequencies to measure community accommodation.
aaddrickliwc-psycholinguistic
Categorizes corpus vocabulary into LIWC psycholinguistic dimensions and computes dimension percentages for style profiling.
aaddrickautomated-orchestration
Orchestrates multi-stage analysis pipelines with checkpoint resume and adaptive depth.
aaddrickstyle-specification-building
Translates linguistic analysis findings into a unified, implementable writing style specification.
aaddricktiered-processing-pipeline
Processes raw CSV and JSON exports through staged CLI and Python ETL pipelines with validation gates.
Frequently Asked Questions About Aaddrick
FAQPage SchemaWhat tasks can I accomplish with Aaddrick's skills?▼
You can analyze text corpora for sentiment (VADER), topics (NMF), readability, psycholinguistic dimensions (LIWC), personality traits (Big Five), and social network structure, then synthesize results into voice-replication style specifications. A second skill family covers GitHub issue triage, PR processing, linting, and test-driven development.
Who are these skills designed for?▼
They target developers and analysts working in Claude Code who need author profiling, digital-behavior forensics on data exports, or voice replication, plus maintainers automating GitHub issue and pull-request lifecycles with gh CLI, shellcheck, and actionlint.
How do the analysis pipelines run in practice?▼
Skills chain through tiered-processing-pipeline and automated-orchestration, which provide staged ETL for CSV/JSON exports, checkpoint/resume for long-running jobs, and adaptive analysis depth. Individual analysis skills feed into archetype-assignment and pipeline-summary-report for a unified final deliverable.
What are the prerequisites and dependencies?▼
Skills assume a Claude Code environment with a .claude/ pipeline. Analysis skills expect structured data exports (CSV/JSON) or text corpora; llm-relevance-scoring optionally uses local or remote models via Ollama. GitHub skills require the gh CLI, shellcheck, and actionlint.
Can I generate content in a specific person's writing style?▼
Yes. The aaddrick-voice-replication skill generates text matching a target voice using constraints and few-shot examples, built from upstream style-specification-building and subagent-instruction-operationalization skills that convert stylometric, rhetorical, and personality analysis into concrete prompt directives.