# Unexplored Wishlist

*Current as of 2026-08-14 · 92 source-backed candidates · none of the Skills below has completed the gallery’s source-read plus ground-up field-test protocol.*

This is the complete working inventory behind the public wishlist. Repository popularity is a discovery signal, not a recommendation. A Skill moves off this list only after its source is learned, about 80% of its key method is exercised in a new artifact, and the result passes the publication rubric.

## At a glance

| Category | Remaining |
| --- | ---: |
| Content creation and KOL | 6 |
| Marketing | 1 |
| Data analytics | 12 |
| Data to dashboard | 5 |
| Data science and ML | 20 |
| LLMs and agents | 11 |
| Product | 6 |
| Design and creative | 6 |
| Knowledge bases and research | 15 |
| Office workflows | 5 |
| One-person company | 5 |
| **Total** | **92** |

## Content creation and KOL (6)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 66 | `copy-editing` | Content writing · Editing | A before-and-after editorial pass improving clarity, structure, voice, evidence, consistency, and conversion without changing meaning. | [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills/tree/main/skills/copy-editing) |
| 67 | `cold-email` | Content writing · Cold outreach | A researched outreach sequence with relevant openings, concise value, credible proof, respectful follow-ups, and measurable replies. | [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills/tree/main/skills/cold-email) |
| 70 | `public-relations` | Content writing · Public relations | A media-ready narrative package with a defensible angle, supporting facts, spokesperson notes, outreach copy, and follow-up plan. | [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills/tree/main/skills/public-relations) |
| 72 | `programmatic-seo` | Content writing · Programmatic SEO | A quality-controlled page system with a useful template, differentiated data, internal links, duplicate-content safeguards, and indexation checks. | [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills/tree/main/skills/programmatic-seo) |
| 73 | `ai-seo` | Content writing · AI search | A source-rich answer library designed for human usefulness, clear entities, quotable facts, retrieval visibility, and attribution monitoring. | [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills/tree/main/skills/ai-seo) |
| 74 | `offers` | Content writing · Offer design | A written offer connecting outcome, audience, scope, evidence, risk reversal, pricing logic, objections, and a clear next step. | [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills/tree/main/skills/offers) |

## Marketing (1)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 36 | `marketing-plan` | Marketing · Strategy | A focused marketing plan connecting positioning, audience, channels, campaigns, and measurement. | [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills/tree/main/skills/marketing-plan) |

## Data analytics (12)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 2 | `xlsx` | Data analysis · Spreadsheets | A formula-safe analytical workbook with charts, formatting, and recalculation QA. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/xlsx) |
| 8 | `data-storytelling` | Analytics · Executive communication | An executive decision narrative using setup, conflict, evidence, and resolution. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/business-analytics/skills/data-storytelling) |
| 9 | `kpi-dashboard-design` | BI · Dashboards · Product analytics | A governed KPI dashboard with consistent definitions, hierarchy, and action thresholds. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/business-analytics/skills/kpi-dashboard-design) |
| 61 | `data-quality-frameworks` | Data engineering · Quality | A data-quality layer with contracts, freshness, completeness, validity, reconciliation, ownership, and incident thresholds. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/data-quality-frameworks) |
| 88 | `polars` | Data engineering · High-performance frames | A pandas-to-Polars migration benchmark covering expression-based transforms, lazy plans, streaming, joins, schema controls, and memory/runtime evidence. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/polars) |
| 96 | `seaborn` | Data viz · Statistical exploration | An exploratory visual atlas using distributions, relationships, categorical comparisons, facets, confidence intervals, and colorblind-safe themes. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/seaborn) |
| 97 | `matplotlib` | Data viz · Publication graphics | A precisely styled multi-panel figure with custom artists, annotations, accessible encodings, export QA, and reproducible figure metadata. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/matplotlib) |
| 98 | `geopandas` | Data science · Vector geospatial | A local vector-data audit with CRS validation, geometry repair, spatial joins, area/distance caveats, provenance, and truthful thematic maps. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/geopandas) |
| 100 | `networkx` | Data science · Network analysis | A graph-analysis workbench covering graph construction, components, paths, centrality, communities, robustness, file exchange, and explainable layouts. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/networkx) |
| 102 | `dask` | Data engineering · Distributed analytics | A larger-than-memory pipeline comparing partitioning, lazy execution, task graphs, cluster diagnostics, persistence choices, and pandas parity. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/dask) |
| 103 | `vaex` | Data engineering · Out-of-core analytics | A billion-row-style out-of-core prototype using memory mapping, virtual columns, lazy filters, fast aggregations, density visualization, and ML transforms. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/vaex) |
| 105 | `chart-visualization` | Data viz · Chart selection · Emerging | A chart-selection and rendering test across time, comparison, distribution, hierarchy, and flow data, with API privacy, failure, labeling, and export checks. | [antvis/chart-visualization-skills](https://github.com/antvis/chart-visualization-skills/tree/master/skills/chart-visualization) |

## Data to dashboard (5)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 31 | `explore-data` | Data to dashboard · Exploration | A decision-led data profile that surfaces quality issues, distributions, patterns, and open questions. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/data/skills/explore-data) |
| 32 | `validate-data` | Data to dashboard · Validation | A dashboard-ready dataset with explicit grain, reconciled metrics, and visible quality checks. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/data/skills/validate-data) |
| 33 | `data-visualization` | Data to dashboard · Visual encoding | A chart system that matches questions to visual encodings and preserves uncertainty. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/data/skills/data-visualization) |
| 34 | `create-viz` | Data to dashboard · Chart creation | A compact set of production charts with accessible labels, useful tooltips, and narrative context. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/data/skills/create-viz) |
| 35 | `build-dashboard` | Data to dashboard · Product | An interactive decision dashboard with governed KPIs, filters, drill paths, and action thresholds. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/data/skills/build-dashboard) |

## Data science and ML (20)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 14 | `exploratory-data-analysis` | Data science · EDA | An authorized dataset audited for missingness, leakage, outliers, and sensitivity. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/exploratory-data-analysis) |
| 15 | `scientific-visualization` | Data science · Visual communication | An accessible publication-ready figure that preserves uncertainty and missing data. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/scientific-visualization) |
| 16 | `statsmodels` | Statistics · ML · Econometrics | A reproducible inference study with model selection, diagnostics, and uncertainty. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/statsmodels) |
| 56 | `dataset-curation` | ML · Training data | A documented training dataset with provenance, deduplication, quality labels, splits, contamination checks, and error analysis. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-finetuning/skills/dataset-curation) |
| 57 | `finetuning-method-selection` | ML · Fine-tuning strategy | A method-selection decision comparing prompting, retrieval, adapters, and full fine-tuning against quality, cost, data, and risk. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-finetuning/skills/finetuning-method-selection) |
| 58 | `lora-qlora-recipes` | ML · LoRA and QLoRA | A reproducible adapter-tuning experiment with baseline evaluation, memory tracking, checkpoint comparison, and failure cases. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-finetuning/skills/lora-qlora-recipes) |
| 59 | `ml-pipeline-workflow` | ML · MLOps pipelines | An end-to-end ML pipeline with reproducible features, training, evaluation, registry, deployment checks, and drift monitoring. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/machine-learning-ops/skills/ml-pipeline-workflow) |
| 60 | `recsys-pipeline-architect` | ML · Recommender systems | A recommendation pipeline with candidate generation, ranking, offline metrics, bias checks, serving constraints, and feedback loops. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/machine-learning-ops/skills/recsys-pipeline-architect) |
| 86 | `scikit-learn` | ML · Classical modeling | A leakage-safe tabular ML benchmark with preprocessing pipelines, cross-validation, tuning, calibration, diagnostics, and an interpretable model card. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/scikit-learn) |
| 87 | `shap` | ML · Explainability · Audit | A prediction-audit lab comparing global, cohort, and local SHAP explanations with additivity checks, background-data choices, and explicit non-causal limits. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/shap) |
| 89 | `timesfm-forecasting` | ML · Foundation-model forecasting | A zero-shot forecast challenge comparing TimesFM with seasonal-naive baselines across horizons, intervals, system preflight, and failure cases. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/timesfm-forecasting) |
| 90 | `pytorch-lightning` | ML · Scalable deep learning | A reproducible Lightning training system with modules, data loaders, callbacks, logging, checkpoints, distributed-strategy choices, and recovery QA. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/pytorch-lightning) |
| 91 | `torch-geometric` | ML · Graph neural networks | A graph-learning lab comparing GCN, GAT, and GraphSAGE on node or link prediction with sampling, leakage checks, explainability, and scale constraints. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/torch-geometric) |
| 92 | `aeon` | ML · Time-series learning | A temporal ML workbench spanning forecasting, classification, anomaly detection, segmentation, similarity search, and time-aware evaluation. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/aeon) |
| 93 | `pymc` | Data science · Bayesian modeling | A hierarchical Bayesian decision model with prior predictive checks, NUTS diagnostics, posterior predictive checks, LOO comparison, and uncertainty-led decisions. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/pymc) |
| 94 | `statistical-analysis` | Statistics · Research analysis | A guided analysis studio connecting estimand, test selection, assumptions, effect sizes, uncertainty, multiple comparisons, and reproducible reporting. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/statistical-analysis) |
| 95 | `statistical-power` | Statistics · Study planning | A sample-size planner with SESOI, closed-form and simulation power, dropout and clustering adjustments, sensitivity curves, and transparent assumptions. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/statistical-power) |
| 99 | `geomaster` | Data science · Geospatial ML | An Earth-observation evidence workflow combining STAC discovery, raster and vector processing, spatial features, model evaluation, and map-based uncertainty. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/geomaster) |
| 101 | `umap-learn` | ML · Dimensionality reduction | An embedding reliability lab comparing UMAP settings, seeds, neighborhood preservation, supervised variants, density views, and downstream clustering stability. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/umap-learn) |
| 104 | `stable-baselines3` | ML · Reinforcement learning | A bounded RL experiment with environment checks, algorithm selection, seeded training, callbacks, evaluation episodes, checkpoint review, and learning curves. | [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/stable-baselines3) |

## LLMs and agents (11)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 3 | `skill-creator` | AI agents · Skill engineering | A new Skill tested with prompt cases, quantitative checks, and iterative evaluation. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/skill-creator) |
| 4 | `mcp-builder` | LLM tools · AI agents | A narrowly scoped MCP server judged by real task-completion quality. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/mcp-builder) |
| 10 | `llm-evaluation` | LLM evaluation · ML | A model-quality comparison using automated metrics, human review, and regression tests. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/llm-evaluation) |
| 11 | `rag-implementation` | RAG · LLM applications | A source-grounded retrieval prototype with separate retrieval and answer-quality measures. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/rag-implementation) |
| 12 | `agentic-eval` | AI agents · Evaluation | A generate–evaluate–critique–refine loop with a fixed rubric and stopping rule. | [github/awesome-copilot](https://github.com/github/awesome-copilot/tree/main/skills/agentic-eval) |
| 13 | `autoresearch` | AI agents · ML experimentation | A bounded autonomous experiment loop with a baseline, target, and keep-or-discard log. | [github/awesome-copilot](https://github.com/github/awesome-copilot/tree/main/skills/autoresearch) |
| 51 | `embedding-strategies` | LLMs · Embeddings | An embedding benchmark comparing models, chunking choices, similarity behavior, cost, latency, and retrieval quality. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/embedding-strategies) |
| 52 | `hybrid-search-implementation` | LLMs · Hybrid retrieval | A retrieval system comparing keyword, vector, and fused ranking with traceable relevance judgments. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/hybrid-search-implementation) |
| 53 | `prompt-engineering-patterns` | LLMs · Prompt engineering | A prompt pattern lab with fixed test cases, structured outputs, failure analysis, and regression comparisons. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/prompt-engineering-patterns) |
| 54 | `vector-index-tuning` | LLMs · Vector indexes | A vector-index experiment balancing recall, latency, memory, filtering, and update behavior on one bounded corpus. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/vector-index-tuning) |
| 55 | `multi-reviewer-patterns` | AI agents · Review teams | A multi-reviewer quality gate with distinct roles, severity rules, disagreement handling, and a measurable release decision. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/agent-teams/skills/multi-reviewer-patterns) |

## Product (6)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 17 | `product-manager` | Product management · Prioritization | A vague request turned into a short outcome-led spec, trade-off, and success metric. | [alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/product-manager) |
| 18 | `product-discovery` | Product discovery · Research | An opportunity map with ranked assumptions, interviews, prototypes, and decision gates. | [alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills/tree/main/product-team/skills/product-discovery) |
| 19 | `product-analytics` | Product analytics · Data | A metric hierarchy with cohorts, retention, adoption, and stage-aware interpretation. | [alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills/tree/main/product-team/skills/product-analytics) |
| 20 | `product-strategist` | Product strategy · OKRs | A strategy test spanning OKR cascades, alignment scoring, competition, and team design. | [alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills/tree/main/product-team/skills/product-strategist) |
| 64 | `competitive-landscape` | Product · Competitive strategy | An evidence-backed market landscape covering alternatives, segments, positioning, capability gaps, and strategic implications. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/startup-business-analyst/skills/competitive-landscape) |
| 65 | `startup-metrics-framework` | Product · Startup metrics | A stage-aware metric system linking acquisition, activation, retention, revenue, efficiency, and explicit decision thresholds. | [wshobson/agents](https://github.com/wshobson/agents/tree/main/plugins/startup-business-analyst/skills/startup-metrics-framework) |

## Design and creative (6)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 5 | `artifacts-builder` | Product design · Interactive artifacts | A multi-component product artifact with a real information architecture and interaction model. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/artifacts-builder) |
| 46 | `brandkit` | Design · Brand systems | A reusable brand kit with visual principles, tokens, typography, color, imagery, and application examples. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/brandkit) |
| 47 | `creative-director` | Design · Creative direction | An original campaign system that turns one strategic concept into a coherent visual world across several formats. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/creative-director) |
| 48 | `apple-hig` | Product design · Apple platforms | A native-feeling Apple product flow audited for hierarchy, navigation, controls, accessibility, and platform conventions. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/apple-hig) |
| 49 | `color-expert` | Design · Color systems | A semantic color system tested across light and dark themes, data states, contrast requirements, and brand expression. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/color-expert) |
| 50 | `design-brief` | Design · Briefing | A decision-ready creative brief connecting audience, problem, promise, constraints, references, deliverables, and success criteria. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/design-brief) |

## Knowledge bases and research (15)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 21 | `notion-knowledge-capture` | Knowledge base · Notion capture | A structured knowledge inbox that turns raw notes into linked, reusable Notion pages. | [openai/skills](https://github.com/openai/skills/tree/main/skills/.curated/notion-knowledge-capture) |
| 22 | `notion-meeting-intelligence` | Knowledge base · Meeting memory | A meeting-memory system that connects decisions, owners, actions, and prior context. | [openai/skills](https://github.com/openai/skills/tree/main/skills/.curated/notion-meeting-intelligence) |
| 23 | `notion-research-documentation` | Knowledge base · Research | A cited research hub that retrieves Notion sources and publishes a traceable synthesis. | [openai/skills](https://github.com/openai/skills/tree/main/skills/.curated/notion-research-documentation) |
| 24 | `obsidian-markdown` | Knowledge base · Obsidian | A connected Obsidian vault using properties, wikilinks, embeds, callouts, and maps of content. | [kepano/obsidian-skills](https://github.com/kepano/obsidian-skills/tree/main/skills/obsidian-markdown) |
| 25 | `obsidian-bases` | Knowledge base · Structured views | A database-like knowledge dashboard with filtered table, card, list, and summary views. | [kepano/obsidian-skills](https://github.com/kepano/obsidian-skills/tree/main/skills/obsidian-bases) |
| 76 | `notion-spec-to-implementation` | Knowledge base · Specs to delivery | A linked Notion workflow that turns a source specification into implementation tasks, decisions, progress evidence, and durable project memory. | [openai/skills](https://github.com/openai/skills/tree/main/skills/.curated/notion-spec-to-implementation) |
| 77 | `defuddle` | Knowledge base · Web capture | A clean web-to-knowledge capture flow preserving title, author, source, useful structure, metadata, citations, and readable Markdown. | [kepano/obsidian-skills](https://github.com/kepano/obsidian-skills/tree/main/skills/defuddle) |
| 78 | `json-canvas` | Knowledge base · Visual maps | A machine-readable knowledge canvas connecting notes, sources, claims, questions, and decisions through inspectable nodes and edges. | [kepano/obsidian-skills](https://github.com/kepano/obsidian-skills/tree/main/skills/json-canvas) |
| 79 | `obsidian-cli` | Knowledge base · Vault automation | A safe vault-maintenance workflow for search, capture, metadata updates, link checks, and batch operations with backups and dry runs. | [kepano/obsidian-skills](https://github.com/kepano/obsidian-skills/tree/main/skills/obsidian-cli) |
| 80 | `library-curator` | Knowledge base · Library curation | A curated resource library with explicit inclusion rules, taxonomy, summaries, provenance, duplicate handling, quality signals, and maintenance cadence. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/library-curator) |
| 81 | `weread-year-in-review-video-template` | Knowledge base · WeRead reflection | A WeRead year-in-review knowledge story connecting books, highlights, themes, reading patterns, memorable ideas, and an editable visual narrative. | [nexu-io/open-design](https://github.com/nexu-io/open-design/tree/main/skills/weread-year-in-review-video-template) |
| 82 | `cdutcm-library-search` | Chinese medicine KB · Library research | A research-only literature workflow through authorized Chengdu University of Traditional Chinese Medicine library access, with source queues, citations, manual verification, and no diagnosis or treatment advice. | [yoqalux-blip/cdutcm-library-search-skill](https://github.com/yoqalux-blip/cdutcm-library-search-skill) |
| 83 | `tcm-network-pharmacology` | Chinese medicine KB · Network pharmacology | A research-only, reproducible TCM evidence map distinguishing computational predictions from PubMed, experimental, and clinical evidence, with exact thresholds and no medical advice. | [YuLab-SMU/TCMDATA](https://github.com/YuLab-SMU/TCMDATA/tree/master/inst/skills/tcm-network-pharmacology) |
| 84 | `linglanmidian-systematic-evaluation-tcm` | Chinese medicine KB · LLM evaluation | A research-only TCM knowledge benchmark with synonym-tolerant scoring, hard subsets, source provenance, expert review, and no clinical decision support. | [ndpvt-web/arxiv-claude-skills](https://github.com/ndpvt-web/arxiv-claude-skills/tree/master/skills/linglanmidian-systematic-evaluation-tcm) |
| 85 | `domain-ontology-mapping-tcm-and-ethnobotany` | Chinese medicine KB · Ontology mapping | A research-only terminology map reconciling TCM names, transliterations, organisms, preparations, structures, and references, with expert validation and license review. | [HolobiomicsLab/asb-skill-collections](https://github.com/HolobiomicsLab/asb-skill-collections/tree/main/collections/metabolomics/v2/skills/domain-ontology-mapping-tcm-and-ethnobotany) |

## Office workflows (5)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 26 | `docx` | Office · Word documents | A polished Word report with controlled styles, tables, pagination, and rendered QA. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/docx) |
| 27 | `pdf` | Office · PDF | An accessible, client-ready PDF assembled, inspected, and validated page by page. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/pdf) |
| 28 | `pptx` | Office · Presentations | An executive presentation with a clear narrative, editable visuals, and slide-level QA. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/pptx) |
| 29 | `doc-coauthoring` | Office · Collaborative writing | A coauthored decision document shaped through context transfer, iteration, and reader testing. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/doc-coauthoring) |
| 30 | `internal-comms` | Office · Internal communication | A concise internal update package spanning leadership notes, project status, and FAQs. | [anthropics/skills](https://github.com/anthropics/skills/tree/main/skills/internal-comms) |

## One-person company (5)

| Rank | Skill | Focus | Planned ground-up test | Source |
| ---: | --- | --- | --- | --- |
| 41 | `business-pulse` | One-person company · Operating pulse | A weekly founder cockpit covering cash, pipeline, customers, delivery risks, and next decisions. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/small-business/skills/business-pulse) |
| 42 | `cash-flow-snapshot` | One-person company · Cash flow | A simple cash runway view with incoming money, obligations, scenarios, and founder action triggers. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/small-business/skills/cash-flow-snapshot) |
| 43 | `lead-triage` | One-person company · Sales | A founder-friendly lead queue that scores fit, urgency, next action, and follow-up timing. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/small-business/skills/lead-triage) |
| 44 | `invoice-chase` | One-person company · Receivables | A respectful invoice follow-up workflow with aging, message stages, exceptions, and approval gates. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/small-business/skills/invoice-chase) |
| 45 | `contract-review` | One-person company · Contracts | A plain-language contract review that flags obligations, risky terms, questions, and human escalation. | [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins/tree/main/small-business/skills/contract-review) |