agent-skills

Plugin agent-skills from marketplace agent-skills in Agentic-Assets/Agent-Skills. Commands read from the repo's manifest — 9 days ago.

Skills (25)

• academic-writing

  Use when creating or revising academic paper sections, formatting tables/figures for journal submission, writing referee responses, or adapting papers to journal-specific requirements in finance, economics, and real estate research.

• code-documenter

  Use when adding docstrings, creating API documentation, or building documentation sites. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, tutorials, user guides.

• code-reviewer

  Use when reviewing pull requests, conducting code quality audits, or identifying security vulnerabilities. Invoke for PR reviews, code quality checks, refactoring suggestions.

• context-engineering

  Use when auditing, optimizing, or architecting the AI agent context layer (CLAUDE.md files, hooks, slash commands, skills, IDE rules) for any codebase, bootstrapping context engineering from scratch, diagnosing agent underperformance, or when the user mentions CLAUDE.md strategy, context quality, ag

• context-guidance-audit

  Multi-phase, subagent-driven deep audit and remediation of codebase guidance (root agent instructions, docs, module context files, skills/agents references, task routing). Phase 1 subagents write verified findings only; Phase 2 subagents verify and fix guidance. Use when the user asks to audit, refr

• cre-dcf-valuation

  Build Discounted Cash Flow (DCF) valuation models for commercial real estate (CRE). Calculate NOI-based cash flows, levered and unlevered IRR, equity multiple, DSCR, debt yield, exit cap rate reversion, and sensitivity analysis. Use for office, retail, industrial, multifamily, mixed-use, and hotel p

• cre-excel-dcf-modeler

  Build discounted cash flow (DCF) valuation models in Excel specifically for commercial real estate (CRE). Use when creating CRE acquisition underwriting models, property-level DCF workbooks, NOI projections, rent roll buildouts, debt schedules, or IRR/equity-multiple return analyses in Excel or Exce

• cre-excel-underwriting

  Use when underwriting, valuing, or stress-testing a commercial real estate deal in Excel — NOI pro formas, DCF cash flows, rent rolls, unit mixes, debt schedules, waterfalls, IRR / equity multiple / DSCR / debt yield / cap rate math, and sensitivity tables. Also use when reviewing a model somebody e

• cre-investment-analysis

  Use when analyzing commercial properties, creating investment memorandums, performing DCF/IRR analysis, evaluating REIT investments, or developing CRE business plans with institutional-grade underwriting standards.

• debugging-wizard

  Use when investigating errors, analyzing stack traces, or finding root causes of unexpected behavior. Invoke for error investigation, troubleshooting, log analysis, root cause analysis.

• fastapi-expert

  Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.

• goal-writer

  Use when the user asks to create, draft, save, revise, or improve a Codex Goal, GOAL.md, goal file, persistent objective, completion contract, or long-running Codex work objective. This skill must be used before inventing or saving any goal for Codex.

• matplotlib

  Use when you need fine-grained control over every plot element, creating novel plot types, custom visualizations, or integrating with specific scientific workflows requiring matplotlib.

• mcp-developer

  Use when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.

• ml-pipeline

  Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.

• n8n-skills

  Use when building n8n workflows, configuring nodes, setting up triggers, implementing data transformations, or integrating AI agents into automation workflows.

• pandas-pro

  Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.

• prompt-engineer

  Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.

• pyfixest-latex

  Use when generating publication-quality LaTeX tables and figures from PyFixest econometric models, including regression tables, event study plots, and summary statistics for academic research papers.

• scientific-visualization

  Use when creating publication-ready journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting.

• skill-creator

  Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better

• social-media-content

  Use when the user wants to create, brainstorm, draft, or post social media content for X (Twitter), LinkedIn, or Instagram. This includes generating post ideas, writing captions or threads, adapting content across platforms, planning a posting cadence, or navigating to a platform's posting interface

• stata-accounting-research

  Use when requesting STATA code patterns for empirical accounting research methods including entropy balancing, PSM, DiD, RDD, IV, event studies, survival analysis, or regression specifications.

• stata-background-runner

  Use when running or troubleshooting Stata do-files in the background on macOS or Windows.

• wrds-data-pull

  Use when pulling data from WRDS databases, merging financial datasets via linking tables, validating panel structure, or constructing financial variables for finance and real estate research.

Slash commands (14)

• /agent-skills:common-ground:COMMAND

  Surface and validate Claude's hidden assumptions about the project for user confirmation

• /agent-skills:common-ground:references:assumption-classification
• /agent-skills:common-ground:references:file-management
• /agent-skills:common-ground:references:reasoning-graph
• /agent-skills:context-guidance-audit

  Two-phase context guidance audit — read skill, audit with subagents, remediate, delete review folder

• /agent-skills:project:discovery:approve-synthesis

  Approve synthesis findings and create implementation tickets from discovery

• /agent-skills:project:discovery:create-epic-discovery

  Create a discovery document for research/customer discovery epics

• /agent-skills:project:discovery:synthesize-discovery

  Synthesize discovery findings into a consolidated analysis document with proposed tickets

• /agent-skills:project:execution:complete-ticket

  Complete a ticket after execution - transitions Jira to "In Review" and updates the implementation plan

• /agent-skills:project:execution:execute-ticket

  Execute a Jira ticket following its implementation plan

• /agent-skills:project:planning:create-epic-plan

  Create an epic planning document by analyzing Jira tickets and codebase

• /agent-skills:project:planning:create-implementation-plan

  Generate an implementation plan from a planning document

• /agent-skills:project:retrospectives:complete-epic

  Complete an epic after all tickets are executed, generate report, and close in Jira

• /agent-skills:project:retrospectives:complete-sprint

  Generate comprehensive sprint retrospective from completed epics

Similar plugins