Skills de Claude Code · página 101

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Threads growth operating system for topic selection, drafting, analysis, prediction, review, and tracker refresh based on the user's own post history.

Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection. Use after the user writes a post, or when they ask to analyze, check, inspect, or AK-review a draft.

Select a topic and generate a draft based on the user's Brand Voice. Draft quality depends on Brand Voice completeness. Trigger words: 'draft', 'write', '起草', '寫文'.

Self-contained compound loop: read threads_skill_learnings.log, cluster the misses, propose concrete sub-skill rule edits, and apply them with the user's approval. The fourth step after Plan / Work / Review. Trigger words: 'optimize', 'compound', '優化skill', '自我優化', '閉環'.

Launch or prepare the optional local visual panel for AK-Threads-Booster. Use when the user asks for a dashboard, visual panel, local UI, data cockpit, or quick way to view tracker/compiled data.

Estimate likely 24-hour post performance from the user's historical data. Use after the user writes a post and wants a range estimate, upside view, or expectation check.

Refresh threads_daily_tracker.json. Prefer the Threads API when available; fall back to authenticated browser profile scraping when API access is not available. Trigger words: 'refresh', 'update tracker', 'scrape profile', '更新貼文', '抓最新數據'.

Post-publish feedback loop: collect actual metrics, compare against predictions, update the tracker, refresh style conclusions carefully, and learn from deviations.

Initialize AK-Threads-Booster: import historical posts, normalize them into the tracker schema, auto-generate a personalized style guide, and build a concept library. Run on first use or whenever the user wants to backfill account history.

Mine insights from comments and historical data to recommend the next worthwhile topics. Trigger words: 'topics', 'topic', '選題', '寫什麼'.

Check AK-Threads-Booster for upstream GitHub updates, safely fast-forward the local skill repo, or install an opt-in weekly Codex automation that keeps the skill on the latest version. Trigger words: update skill, check updates, auto update, weekly update, 更新 skill, 自動更新, 每週檢查更新.

Deep analysis of user's historical posts and comment replies to build a comprehensive Brand Voice profile. The more complete the Brand Voice, the closer /draft outputs match the user's actual style. Trigger words: 'brand voice', 'voice', '品牌聲音', '語感分析'

Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.

Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.

Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.

Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.

Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.

Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.

Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

Analyze field progress photos. Catalog, tag, and compare against planned progress.

Generate images and visualizations from Revit/IFC files without BIM software. Python-based noBIM tool for batch processing.

Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.

Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files.

Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.

Push Excel data back to BIM models. Update parameters, properties, and attributes from structured spreadsheets.

Import Excel data into RVT projects. Update element parameters, create schedules, and sync external data sources.

Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.

Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.

Convert RVT files to IFC format. Support IFC2x3, IFC4, IFC4.3 with customizable export settings.

Build cost assemblies from CWICR work items. Combine multiple items into reusable templates for common construction elements.

Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.

Process construction change orders using CWICR data. Calculate cost impact, compare to original estimate, and generate change order documentation.

Compare cost estimates across projects, versions, and scenarios. Identify variances, benchmark against standards, and generate comparison reports.

Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.

Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.

Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.

Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.

Plan equipment requirements using CWICR norms. Calculate equipment hours, scheduling, utilization rates, and rental vs purchase analysis.

Apply price escalation to CWICR estimates over time. Calculate inflation adjustments, material price indices, and labor rate increases.

Track and analyze historical cost data using CWICR. Compare actual vs estimated costs, build project cost database, and improve future estimates.

Schedule labor crews based on CWICR norms and project timeline. Calculate crew sizes, shifts, and labor loading curves.

Apply geographic location factors to CWICR estimates. Adjust costs for regional labor rates, material prices, and market conditions.

Generate material procurement lists from CWICR data. Calculate quantities with waste factors, group by supplier categories, and create purchase orders.

Find substitute materials using CWICR data. Identify equivalent alternatives based on function, cost, and availability.

Work with CWICR database across 9 languages. Cross-language matching, translation, and regional pricing.

Apply overhead, profit, and markup to CWICR estimates. Calculate indirect costs, general conditions, and contractor margins.

Track actual vs planned productivity using CWICR norms. Calculate productivity rates, identify variances, and generate performance reports.

Match BIM quantities to CWICR work items. Map element categories to cost codes, validate quantities, and generate cost-linked QTOs.

Update CWICR resource rates with current market prices. Integrate external price data, apply inflation adjustments, and maintain rate history.

Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.

Analyze construction resources (labor, materials, equipment) from DDC CWICR database. Calculate resource requirements, productivity metrics, and optimization recommendations.

Calculate risk-adjusted cost estimates using CWICR data. Apply contingencies, Monte Carlo simulation, and probability distributions to cost estimates.

Integrate CWICR cost data with project schedules. Link work items to schedule activities, generate cost-loaded schedules, and cash flow projections.

Analyze and compare subcontractor bids against CWICR benchmarks. Evaluate pricing, identify outliers, and support negotiation.

Assist with quantity takeoff using CWICR data. Calculate quantities from dimensions, apply waste factors, and suggest related work items.

Convert between construction measurement units. Handle metric/imperial conversion, area/volume calculations, and unit normalization for CWICR data.

Perform value engineering analysis using CWICR data. Identify cost-saving alternatives while maintaining function and quality.

Calculate material waste factors and losses using CWICR norms. Apply waste percentages, cutting losses, and spillage factors to material quantities.

Break down CWICR work items into component resources. Decompose aggregate items, analyze resource composition, and generate detailed bills of resources.

Semantic search in DDC CWICR construction database using vector embeddings. Find similar work items and resources for cost estimation.

Track as-built documentation and record drawings. Monitor submission status, manage revisions, and ensure completeness for handover.

Track and manage construction warranties. Monitor expiration dates, claims, and manufacturer documentation.

Automated cost estimation from BIM models using DDC CWICR database with 55,719 work items. AI classification + vector search for accurate pricing.