claude-code-my-workflow is a forkable setup for using Claude Code to produce and review academic papers, slides, data analyses, and replication packages. Researchers use its agents, skills, rules, hooks, and quality checks to coordinate these tasks and verify their results. The catalogue entries define the reusable workflow components for Claude Code.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/pedrohcgs/claude-code-my-workflow/learnnpx skills add pedrohcgs/claude-code-my-workflow --skill learngit clone --depth 1 https://github.com/pedrohcgs/claude-code-my-workflowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/learn)<a href="https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/learn"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/learn.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00041 | $0.01077 |
| Opus 5 | $0.00020 | $0.00539 |
| Sonnet 5 | $0.00008 | $0.00215 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade B, and why
learn scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
ls .claude/skills/ 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/learn — Skill Extraction Workflow
Extract non-obvious discoveries into reusable skills that persist across sessions.
When to Use This Skill
Invoke /learn when you encounter:
- Non-obvious debugging — Investigation that took significant effort, not in docs
- Misleading errors — Error message was wrong, found the real cause
- Workarounds — Found a limitation with a creative solution
- Tool integration — Undocumented API usage or configuration
- Trial-and-error — Multiple attempts before success
- Repeatable workflows — Multi-step task you'd do again
- User-facing automation — Reports, checks, or processes users will request
Workflow Phases
PHASE 1: Evaluate (Self-Assessment)
Before creating a skill, answer these questions:
- "What did I just learn that wasn't obvious before starting?"
- "Would future-me benefit from this being documented?"
- "Was the solution non-obvious from documentation alone?"
- "Is this a multi-step workflow I'd repeat?"
Continue only if YES to at least one question.
PHASE 2: Check Existing Skills
Search for related skills to avoid duplication:
# Check project skills
ls .claude/skills/ 2>/dev/null
# Search for keywords
grep -r -i "KEYWORD" .claude/skills/ 2>/dev/null
Outcomes:
- Nothing related → Create new skill (continue to Phase 3)
- Same trigger & fix → Update existing skill (bump version)
- Partial overlap → Update with new variant
PHASE 3: Create Skill
Create the skill file at .claude/skills/[skill-name]/SKILL.md:
---
name: descriptive-kebab-case-name
description: |
[CRITICAL: Include specific triggers in the description]
- What the skill does
- Specific trigger conditions (exact error messages, symptoms)
- When to use it (contexts, scenarios)
metadata:
author: [you]
version: "1.0"
argument-hint: "[expected arguments]" # Optional
---
# Skill Name
## Problem
[Clear problem description — what situation triggers this skill]
## Context / Trigger Conditions
[When to use — exact error messages, symptoms, scenarios]
[Be specific enough that you'd recognize it again]
## Solution
[Step-by-step solution]
[Include commands, code snippets, or workflows]
## Verification
[How to verify it worked]
[Expected output or state]
## Example
[Concrete example of the skill in action]
## References
[Documentation links, related files, or prior discussions]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 166 lines · 41 tokens per session scan B 749dcea6ce22
learn is a skill published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,556 stars, last pushed 11d ago), licensed MIT. It adds 41 tokens to every session and 1,077 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
paper-workflow
经管 / 社科实证论文全流程 meta-orchestrator：把选题、设计、数据、估计、方法闸门、 表图、写作、去 AI 味、质量门、修订、投稿与复盘编排成 Stage 0–9 可断点续跑流水线。 本 skill 不重复实现子能力，而是按阶段调用既有 skill 或并行 subagent，并在 Stage 3–4 路由 Python/StatsPAI、Stata、R 三种分析后端，Stage 9 交付一份含正文+表+图+参考文献的 Word 全文定稿（09submission/main.docx，另可出 .tex）。触发：/paper-workflow、 帮我写一篇实证论文、从选题到投稿、端到端 empirical…
econ-management-paper-polish
Writing, revision, review, evidence, journal adaptation, and method-safety support for economics, management, finance, accounting, marketing, information systems, public administration, and related business-school papers. Routes by discipline, subfield, language, method, outlet, section, and task mode while preserving…
did-causal
Use this Skill when the user needs to estimate causal treatment effects using difference-in-differences (DID) designs: two-way fixed effects (TWFE) regression, parallel trends pre-testing, Callaway-Sant'Anna staggered adoption estimator, and Goodman-Bacon decomposition. Covers both Python (linearmodels) and R (did…
fin-paper-convert
Compile LaTeX to PDF and convert to target journal format.
fin-paper-figure
Generate academic-quality figures (>=300 DPI) for economics and finance papers.
fin-full-pipeline
经济金融研究端到端完整流程。从研究想法到可投稿论文，覆盖文献综述、想法生成、新颖性验证、实证方法设计、论文大纲、正文写作、图表生成、LaTeX编译和投稿前检查。.