Design Doc Mermaid
SpillwaveSolutions/design-doc-mermaid
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A skill your agent uses when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process.
MITAuto-check passed
Install Cryptocred Structure
$ npx skills add questflowai/investorskills --skill cryptocred-structure -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills cryptocred-structure --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cryptocred-structure .claude/skills/cryptocred-structure && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cryptocred-structure" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/cryptocred-structure into .claude/skills/cryptocred-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cryptocred-structure", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/questflowai/investorskills/tree/main/skills/cryptocred-structureType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add questflowai/investorskills --skill cryptocred-structure -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills cryptocred-structure --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cryptocred-structure .agents/skills/cryptocred-structure && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cryptocred-structure" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/cryptocred-structure into .agents/skills/cryptocred-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cryptocred-structure", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add questflowai/investorskills --skill cryptocred-structure -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills cryptocred-structure --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cryptocred-structure .cursor/skills/cryptocred-structure && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cryptocred-structure" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/cryptocred-structure into .cursor/skills/cryptocred-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cryptocred-structure", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/questflowai/investorskills.git --path skills/cryptocred-structure--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add questflowai/investorskills --skill cryptocred-structure -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills cryptocred-structure --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cryptocred-structure .gemini/skills/cryptocred-structure && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cryptocred-structure" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/cryptocred-structure into .gemini/skills/cryptocred-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cryptocred-structure", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install questflowai/investorskills cryptocred-structureInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add questflowai/investorskills --skill cryptocred-structure -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cryptocred-structure .github/skills/cryptocred-structure && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cryptocred-structure" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/cryptocred-structure into .github/skills/cryptocred-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cryptocred-structure", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add questflowai/investorskills --skill cryptocred-structure -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install questflowai/investorskills cryptocred-structure --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cryptocred-structure .opencode/skills/cryptocred-structure && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cryptocred-structure" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/cryptocred-structure into .opencode/skills/cryptocred-structure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cryptocred-structure", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
cryptocred-structure- GitHub stars
- 1.9k
- Token cost
- ~417 tokens
- SKILL.md length
- 160 words
- Files
- 2
- Skills in repo
- 63
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process.
- Works in 4 steps: Map key levels. → Read structure. → Require confluence. → …
- Evaluating crypto charts through a CryptoCred-style structure lens: levels
- SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cryptocred Structure is an agent skill from questflowai/investorskills. Use when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process.
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).
It works with Confluence. The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.
When your agent uses it
- Evaluating crypto charts through a CryptoCred-style structure lens: levels
- Market structure
- Risk definition
- Educational technical process
Example prompts
- “/cryptocred-structure”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Map key levels.
- Read structure.
- Require confluence.
- Write entry/stop/invalidation before sizing.
What it can do on your machine
Read from SKILL.md and the folder at commit 2844d78. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Cryptocred Structure loads about 417 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 160 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 160 words, ~417 tokens.
Download SKILL.mdSave it as
.claude/skills/cryptocred-structure/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- cryptocred-structure
- description
- Use when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process.
- invest
- ./invest.md
CryptoCred Structure
Use this skill to apply CryptoCred-style judgment.
When To Use
Use this skill when the user asks for:
- crypto level mapping
- structure and confluence review
- educational TA process
- CryptoCred-style chart plan
Trigger phrases include CryptoCred, crypto levels, confluence, market structure TA, chart plan.
Do Not Use When
- Another skill fits better.
- Critical data for this model is missing.
- The user wants guaranteed returns or unbounded leverage.
- The request is generic hype with no decision.
Inputs Needed
- Asset, token, protocol, sector, or market context
- Relevant price, on-chain, liquidity, research, or adoption data
- Time horizon and risk constraints
- Portfolio context if sizing is requested
Process
- Map key levels.
- Read structure.
- Require confluence.
- Write entry/stop/invalidation before sizing.
Output Format
# CryptoCred Structure View: [Subject]
## Verdict
Setup Valid / Needs Confluence / Wait / Invalid / Pass
## Thesis
## Evidence
## Risks
## Action Plan
## Invalidation
## Missing DataGuardrails
- Follow the skill process; do not free-style.
- Separate facts, assumptions, and judgment.
- Define invalidation before sizing.
- Not financial advice.
Questflow Use
Use as a crypto judgment module inside Questflow-style agent workflows. Reference readings/podcasts/videos after loading the skill.
© questflowai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/cryptocred-structure of questflowai/investorskills.
- SKILL.md
- invest.md
Open the folder on GitHubat commit 2844d78
Compare with similar skills
Cryptocred Structure next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cryptocred Structure this skillquestflowai/investorskills | 1.9k | — | ~417 | Automated safety check: Pass | MIT | |
| Design Doc MermaidSpillwaveSolutions/design-doc-mermaid | 175 | 1 repos | ~5.6k | Automated safety check: Pass | None | |
| Colleague DistillationZhixiangLuo/10xProductivity | 478 | — | ~2.1k | Automated safety check: Notes | MIT | |
| Confluence To Markdowniurykrieger/claude-bedrock | 105 | 1 repos | ~2.8k | Automated safety check: Notes | MIT | |
| Tool ConnectorZhixiangLuo/10xProductivity | 478 | — | ~925 | Automated safety check: Pass | MIT | |
| Akb Ingestdnotitia/akb | 161 | — | ~2k | Automated safety check: Pass | Custom licence |
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Related
Works with
Questions about Cryptocred Structure
What does Cryptocred Structure do?
A skill your agent uses when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process. Cryptocred Structure is an agent skill from questflowai/investorskills. Use when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process.
When should I use Cryptocred Structure?
Cryptocred Structure fits situations like: evaluating crypto charts through a CryptoCred-style structure lens: levels; market structure; risk definition; educational technical process.
How do I install Cryptocred Structure in Claude Code?
Run `npx skills add questflowai/investorskills --skill cryptocred-structure -a claude-code`. Or copy the skill folder (skills/cryptocred-structure in questflowai/investorskills) into .claude/skills/cryptocred-structure in your project. Claude Code loads it when a task matches its description.
How do I install Cryptocred Structure in Codex?
Run `npx skills add questflowai/investorskills --skill cryptocred-structure -a codex`. Or copy the skill folder (skills/cryptocred-structure in questflowai/investorskills) into .agents/skills/cryptocred-structure in your project. Codex loads it when a task matches its description.
Can I use Cryptocred Structure in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add questflowai/investorskills --skill cryptocred-structure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cryptocred-structure, .gemini/skills/cryptocred-structure, .github/skills/cryptocred-structure and .opencode/skills/cryptocred-structure in your project.
What does Cryptocred Structure need to run?
SKILL.md names no scripts, command-line tools or credentials: Cryptocred Structure is instructions for the agent only.
Does Cryptocred Structure access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Cryptocred Structure safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Cryptocred Structure use?
Cryptocred Structure is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cryptocred Structure use?
About 417 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Cryptocred Structure?
Skills that share tags, products or a category with Cryptocred Structure: Design Doc Mermaid (SpillwaveSolutions/design-doc-mermaid, 175 stars), Colleague Distillation (ZhixiangLuo/10xProductivity, 478 stars), Confluence To Markdown (iurykrieger/claude-bedrock, 105 stars) and Tool Connector (ZhixiangLuo/10xProductivity, 478 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cryptocred Structure?
questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,895 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.
Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.