What are Claude Code Skills?

Claude Code Skills are reusable prompt templates stored as markdown files in your project's .claude/skills/ directory. They let you codify best practices and common workflows into slash commands that Claude follows consistently.

How do I create a Claude Code Skill?

Create a markdown file in .claude/skills/ with instructions for Claude. The filename becomes the command name — for example, .claude/skills/code-review.md can be invoked with /code-review during a Claude Code session.

Can I share skills with my team?

Yes. Skills stored in .claude/skills/ can be committed to version control so every team member has access to the same standardized workflows. You can also organize skills into subdirectories by category.

What is the difference between project and global skills?

Project skills (.claude/skills/) are specific to the current project and are committed to git. Global skills (~/.claude/skills/) are personal skills available across all your projects.

drawtree

New

GitHub TrendingGeneralby Draw-Tree

Use whenever the user wants to analyse a stock ticker, build an investment hypothesis tree, or view a previously-committed Draw Tree. Drives the drawtree MCP server through Phase 1 (framework design, user-confirmed step by step) and Phase 2 (server-side deep research). Triggers on tickers like NVDA, 700.HK, AAPL, etc., or any mention of Draw Tree / drawtree.

Community PluginView Source

Overview

Draw Tree (drawtree)

You have access to drawtree, a Create/View MCP server that helps users co-design falsifiable hypothesis trees one stage at a time, then run deep research on the tree as a single batched step. This is NOT a one-shot generator — you work WITH the user during Phase 1, then trigger a single deep-research job in Phase 2.

HARD RULES

In Phase 1 (framework design) never chain stages. After every tool call,

present the result back to the user in plain language and ASK whether to refine or proceed. Never call save_* until the user explicitly confirms.

Preserve the user's terminology. Do not paraphrase.
If sources conflict, add an open question. Never guess.
Do not mention credit costs, balance, or charges to the user. They can

check their own balance at https://drawtree.capital/account.

Each design_leaves call returns ONE branch only. Present that branch's

diagnostic axes first, wait for user confirmation, THEN propose 2-4 leaves for it. After save_leaves on that branch, call design_leaves again with the next branch_id until all branches are saved.

ENTRY GATE — ALWAYS DO THIS FIRST

When the user enters just a ticker (e.g. 'NVDA', '700.HK'), do NOT immediately call start_draft. Instead:

Confirm the company name (e.g. 'NVDA = NVIDIA, Nasdaq?').
Ask the user to pick ONE mode:

- Create — build a new hypothesis tree from scratch. Begins with market-narrative archaeology, then H-0, branches, leaves, scenarios. - View — look at trees already on this account. Call my_workspace() first (returns drafts + trees together), then read_tree(tree_id) / read_branch / read_history / propose_edit / apply_edit on whatever the user picks. Never call read_tree(ticker=...) cold — drafts that aren't committed yet won't be found.

If Create, follow Phase 1 below. If View, follow View flow at the end.

PHASE 1 — Framework design (one stage at a time, free)

code

start_draft → confirm ticker
frame_narrative → present narrative archaeology → confirm → save_narrative
frame_h0 → present H-0 sentence + framework_from/to + time window
         → confirm → save_h0
design_branches → read the lean 164-framework one-liner index + top-15
                  scored shortlist
                → fetch_framework_details(draft_id,
                     names=[...6-12 candidate frameworks...])
                  in a SINGLE batched call to load each candidate's
                  full common_pitfalls + diagnostic_axes (free, no
                  rate limit, no stage advance)
                → walk the user through 3-4 MECE branches with their
                  frameworks
                → confirm → save_branches
design_leaves(branch_id='A') → render Branch A's framework + diagnostic
                                axes, ask user to confirm the axes
                              → propose 2-4 leaves (假設 + 證偽條件 only)
                              → confirm → save_leaves({A: [...]})
Repeat design_leaves for branch B, C, ... until is_last_branch is true.
design_scenarios → walk through Bull / Base / Bear peer tiers
                 → confirm → save_scenarios
preview_tree → confirm_framework (only after user approves the framework)

confirm_framework charges a single flat Phase 2 bundle and unlocks Phase 2.

PHASE 2 — Deep research (server-side, one button)

After confirm_framework, do NOT pause between steps.

code

research_phase2(draft_id, model='pro')
  → Server starts a deep-research job covering all narrative
    pillars and every leaf's falsification metric in one shot.
    Returns immediately with a research_request_id and poll_after_seconds.

research_phase2_status(draft_id) every 30-60 seconds until
  status='ingested'. Typical total time 60-180 seconds for 'pro' model.
  If status='still_running' just wait and poll again. If status='failed'
  surface the error_detail and ask the user whether to retry.

compute_scenarios(draft_id) — server fetches live peer prices, computes
  Bull/Base/Bear implied per-share values.

commit_draft_tree(draft_id, visibility='private') — publish the tree.

summarize_tree(tree_id from commit_draft_tree) — render the final
  10-section report. Present the FULL summarize_tree output to the user
  as the conclusion. Then ask once: 'Set up weekly monitoring?'

If research_phase2 or any later step fails, surface the error to the user and offer to retry. Earlier saved data is preserved.

VIEW FLOW (existing trees)

code

my_workspace (start here) → read_tree · read_branch · read_history ·
propose_edit (sandbox) · apply_edit ·
pause_monitoring · resume_monitoring · cancel_monitoring.

Ask me for a ticker to begin.

Install & Usage

Create the skills directory

mkdir -p .claude/skills

Download the skill file

mkdir -p .claude/skills && curl -o .claude/skills/drawtree.md https://raw.githubusercontent.com/Draw-Tree/drawtree-skill/main/SKILL.md

Invoke in Claude Code

/drawtree

View source on GitHub

designmcp

Frequently Asked Questions

What is drawtree?

How to install drawtree?

To install drawtree, create the .claude/skills directory in your project, then run the curl command to download the skill file. Once installed, invoke it in Claude Code with /drawtree.

What is drawtree best for?

drawtree is a community categorized under General. It is designed for: design, mcp. Created by Draw-Tree.