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SkillsMP 已收集 aaddrick/written-voice-replication 中的 29 个 Skill。打开任一 Skill 可查看来源和详情。
已展示 29 / 29 个已收集 Skill。
Use when generating text, drafting responses, composing messages, or producing any written content that should sound like aaddrick, when the user asks to write in their voice or style, or when the aaddrick-voice agent needs a reference for voice constraints…
原文语言：英语
Use when synthesizing outputs from multiple prior analyses (taxonomy, sentiment, engagement, temporal patterns, psycholinguistic profile, personality traits, network position) into a single persona archetype classification, when needing to assign user role…
原文语言：英语
Use when building multi-stage analysis pipelines that need checkpoint/resume, when long-running jobs fail mid-execution and lose progress, when processing large data archives that exceed memory or rate limits, or when analysis depth should adapt to data volume
原文语言：英语
Use when inferring Big Five (OCEAN) personality traits from a text corpus, mapping linguistic markers to personality dimensions, converting trait profiles into writing style constraints for voice replication, or needing to characterize an author's personality…
原文语言：英语
Use when measuring how a user's writing style converges toward or diverges from community norms, computing Linguistic Style Matching scores from function words, comparing accommodation strength across multiple communities, tracking stylistic convergence over…
原文语言：英语
Use when a data export contains URLs or IDs referencing external content that is not stored inline, when comments or replies are orphaned from their parent context, when voted or saved items exist only as permalinks with no content, or when downstream…
原文语言：英语
Use when analyzing structured data exports containing multiple CSV files, reconstructing user activity timelines from metadata headers, calculating account lifespan or content creation baselines, or cross-referencing schemas across export files to identify…
原文语言：英语
Use when categorizing vocabulary into psychological dimensions (cognitive processes, social drives, biological needs, emotional states), identifying dominant psycholinguistic registers in a text corpus, performing dictionary-based word categorization for…
原文语言：英语
Use when assigning quality or relevance scores to individual pieces of content in a text corpus, when distinguishing substantive contributions from low-effort content, when identifying authority peaks where a user served as a primary knowledge source, or when…
原文语言：英语
Use when tracking a user's evolution over time through activity stages, modeling temporal trajectories of engagement or participation, detecting phase transitions in longitudinal behavioral data, classifying digital maturity stages from activity metadata, or…
原文语言：英语
Use when classifying users or accounts along Score, Sentiment, and Toxicity axes into behavioral archetypes (HHH through LLL), analyzing engagement patterns in online community data, combining visibility/influence with affective and toxicity dimensions, or…
原文语言：英语
Use when mapping a user's interaction network from reply chains or parent-child relationships, identifying frequent interlocutors, measuring reciprocity patterns, detecting audience-dependent voice shifts, or extracting ego networks from conversation data
原文语言：英语
Use when discovering latent themes in a text corpus, performing unsupervised topic extraction, comparing NMF vs LDA results, or needing to find hidden connections across documents. Triggers include topic modeling, theme discovery, TF-IDF vectorization,…
原文语言：英语
Use when all pipeline analysis reports are complete and a unified summary is needed, when combining findings from multiple analysis phases into a single executive overview, or when producing a final deliverable that summarizes both the composite picture and…
原文语言：英语
Use when computing quantitative text complexity metrics from a corpus, measuring readability scores (Flesch-Kincaid, Coleman-Liau, Gunning Fog, SMOG, ARI), lexical diversity (TTR, MTLD, MATTR, hapax legomena), or translating complexity measurements into LLM…
原文语言：英语
Use when measuring how much a user's writing voice varies across different contexts or communities, comparing vocabulary, formality, sentence length, and sentiment distributions across sub-corpora, classifying register as stable vs. context-dependent, or…
原文语言：英语
Use when analyzing how an author constructs arguments beyond the word level, examining argument ordering patterns, rhetorical devices like hedging and concessions, discourse marker usage, paragraph structure distributions, or needing to produce replicable…
原文语言：英语
Use when categorizing texts by communicative function (asserting, advising, explaining, questioning, challenging, agreeing), determining dominant speech acts and their proportions across a corpus, building a pragmatic signature for voice profiling, or…
原文语言：英语
Use when translating completed linguistic analysis outputs into a unified style specification document, resolving conflicts between analysis findings, mapping quantitative metrics to actionable writing constraints, or producing an implementable voice profile…
原文语言：英语
Use when extracting a stable writing fingerprint from a text corpus based on function word frequencies, sentence structure patterns, and punctuation habits, defining syntactic constraints that make an author's writing identifiable regardless of topic, or…
原文语言：英语
Use when translating a completed style specification into an LLM subagent prompt that reproduces a target voice, converting psycholinguistic analysis outputs into concrete prompt directives, operationalizing stylometric fingerprints and archetype…
原文语言：英语
Use when correlating sentiment scores with engagement metrics, measuring thread depth as an influence signal, auditing content exports for PII exposure, identifying discursive catalysts in comment threads, or needing scatter plots of sentiment vs. engagement…
原文语言：英语
Use when classifying a user's interests from a text corpus, measuring interest diversity or concentration, mapping content to hierarchical categories, determining whether a profile is polymathic or specialist, or computing orthogonality scores across interest…
原文语言：英语
Use when analyzing longitudinal content data for interest migration patterns, detecting when a user or entity shifts from one category subgroup to another over time, identifying change points in categorical distributions, determining which historical era best…
原文语言：英语
Use when analyzing timestamped activity data to reconstruct activity profiles, detect hourly or daily or weekly or seasonal patterns, identify circadian regularity, find activity bursts, or classify engagement style from posting times across any time-series…
原文语言：英语
Use when processing raw data exports through staged pipelines, cleaning text corpora with CLI tools before deeper Python analysis, building multi-stage ETL for CSV/JSON data, or integrating LLM analysis with traditional NLP pipelines
原文语言：英语
Use when scoring sentiment in social media text, informal writing, or user-generated content using VADER, tracking affective trajectories over time, performing multi-tiered sentiment analysis across titles and body text, or needing lexicon-based polarity…
原文语言：英语
Use when combining multiple engagement signals into a single composite score, ranking content by influence or value, needing to identify high-value discussions from heterogeneous metrics like votes upvote-ratio comments sentiment and recency, or when raw…
原文语言：英语
Use when creating new agents, editing existing agents, or defining specialized subagent roles for the Task tool
原文语言：英语