Agent skill

Text To Technical Roadmap

by aipoch in aipoch/medical-research-skills

Converts research text into a Mermaid technical roadmap flowchart.

MITAuto-check passedProduct & Project Management

Install Text To Technical Roadmap

skills CLI
$ npx skills add aipoch/medical-research-skills --skill text-to-technical-roadmap -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills text-to-technical-roadmap --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/text-to-technical-roadmap .claude/skills/text-to-technical-roadmap && rm -rf skills-src

Use ~/.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/

Facts

Skill name
text-to-technical-roadmap
GitHub stars
2k
Token cost
~1.6k tokens
SKILL.md length
711 words
Files
3 (incl. references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Converts research text into a Mermaid technical roadmap flowchart.

  • Works in 4 steps: Read the skill instructions and collect… → Follow the documented workflow exactly. → Use packaged references/assets from this… → …
  • The user provides research proposals
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Text To Technical Roadmap is an agent skill from aipoch/medical-research-skills. Converts research text into a Mermaid technical roadmap flowchart. Use when the user provides research proposals, experiment designs, or scientific text and asks for a roadmap or flowchart.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/prompt_guidelines.md` and `text-to-technical-roadmap_audit_result_v2.json`).

It sits in Product & Project Management, covering Diagrams, Proposals and quotes and Experimental design. It works with Mermaid. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • The user provides research proposals
  • Experiment designs
  • Scientific text and asks for a roadmap

Example prompts

  • “Use the text-to-technical-roadmap skill to convert research text into a Mermaid technical roadmap flowchart”
  • “/text-to-technical-roadmap”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the skill instructions and collect the required inputs.
  2. Follow the documented workflow exactly.
  3. Use packaged references/assets from this folder when the task needs templates or rules.
  4. Return a structured result tied to the requested deliverable.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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.

    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

Text To Technical Roadmap loads about 1.6k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 711 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

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 aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 711 words, ~1,569 tokens.

Download SKILL.mdSave it as .claude/skills/text-to-technical-roadmap/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
text-to-technical-roadmap
description
Converts research text into a Mermaid technical roadmap flowchart. Use when the user provides research proposals, experiment designs, or scientific text and asks for a roadmap or flowchart.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Text to Technical Roadmap

When to Use

  • Use this skill when the request matches its documented task boundary.
  • Use it when the user can provide the required inputs and expects a structured deliverable.
  • Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

  • Scope-focused workflow aligned to: Converts research text into a Mermaid technical roadmap flowchart. Use when the user provides research proposals, experiment designs, or scientific text and asks for a roadmap or flowchart.
  • Documentation-first workflow with no packaged script requirement.
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

text
Skill directory: 20260316/scientific-skills/Others/text-to-technical-roadmap
No packaged executable script was detected.
Use the documented workflow in SKILL.md together with the references/assets in this folder.

Example run plan:

  1. Read the skill instructions and collect the required inputs.
  2. Follow the documented workflow exactly.
  3. Use packaged references/assets from this folder when the task needs templates or rules.
  4. Return a structured result tied to the requested deliverable.

Implementation Details

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: instruction-only workflow in SKILL.md.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Description

This skill converts research text (proposals, experiment designs, etc.) into a professional Mermaid flowchart. It extracts key steps, identifies dependencies, and formats the output as a flowchart TD.

Instructions

  1. Analyze the Input:

    • Identify the core components: Background, Scientific Question, Objectives, Research Content, and Methodology.
    • Break down the content into logical, sequential steps.
    • Determine dependencies (causal, sequential, or parallel).
  2. Generate Mermaid Code:

    • Construct a Mermaid flowchart TD diagram.
    • Ensure all nodes represent clear research or analysis actions.
    • Use professional, concise scientific terminology.
    • Constraint: Output only the Mermaid code block. Do not add explanatory text outside the code block.
  3. Validation:

    • Ensure the code is syntactically correct and renderable.
    • Avoid unstable or complex Mermaid features.

References

When Not to Use

  • Do not use this skill when the required source data, identifiers, files, or credentials are missing.
  • Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
  • Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.
Show full SKILL.md (276 more words)Show less

Required Inputs

  • A clearly specified task goal aligned with the documented scope.
  • All required files, identifiers, parameters, or environment variables before execution.
  • Any domain constraints, formatting requirements, and expected output destination if applicable.
  1. Validate the request against the skill boundary and confirm all required inputs are present.
  2. Select the documented execution path and prefer the simplest supported command or procedure.
  3. Produce the expected output using the documented file format, schema, or narrative structure.
  4. Run a final validation pass for completeness, consistency, and safety before returning the result.

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as text_to_technical_roadmap_result.md unless the skill documentation defines a better convention.
  • Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

Validation and Safety Rules

  • Validate required inputs before execution and stop early when mandatory fields or files are missing.
  • Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
  • Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
  • Keep the output safe, reproducible, and within the documented scope at all times.

Failure Handling

  • If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
  • If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
  • If partial output is returned, label it clearly and identify which checks could not be completed.

Quick Validation

Run this minimal verification path before full execution when possible:

text
No local script validation step is required for this skill.

Expected output format:

text
Result file: text_to_technical_roadmap_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any

© aipoch, 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 2 other files (references) in scientific-skills/Other/text-to-technical-roadmap of aipoch/medical-research-skills.

  • SKILL.md
  • references/prompt_guidelines.md
  • text-to-technical-roadmap_audit_result_v2.json

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Text To Technical Roadmap 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.

Text To Technical Roadmap compared with similar skills
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Text To Technical Roadmap this skillaipoch/medical-research-skills2k—~1.6kAutomated safety check: PassMIT
Design Decknicobailon/pi-design-deck291—~4.3kAutomated safety check: PassNone
Discover Journey Mapproduct-on-purpose/pm-skills715—~3kAutomated safety check: PassApache-2.0
UX Flowsgenkovich/sdd171—~2kAutomated safety check: PassMIT
User Journey Mapmohitagw15856/pm-claude-skills1.4k—~797Automated safety check: PassMIT
B2B PRD GeneratorpmYangKun/create-prd-skill348—~879Automated safety check: PassNone

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Works with

Questions about Text To Technical Roadmap

What does Text To Technical Roadmap do?

Converts research text into a Mermaid technical roadmap flowchart. Text To Technical Roadmap is an agent skill from aipoch/medical-research-skills. Converts research text into a Mermaid technical roadmap flowchart.

When should I use Text To Technical Roadmap?

Text To Technical Roadmap fits situations like: the user provides research proposals; experiment designs; scientific text and asks for a roadmap.

How do I install Text To Technical Roadmap in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill text-to-technical-roadmap -a claude-code`. Or copy the skill folder (scientific-skills/Other/text-to-technical-roadmap in aipoch/medical-research-skills) into .claude/skills/text-to-technical-roadmap in your project. Claude Code loads it when a task matches its description.

How do I install Text To Technical Roadmap in Codex?

Run `npx skills add aipoch/medical-research-skills --skill text-to-technical-roadmap -a codex`. Or copy the skill folder (scientific-skills/Other/text-to-technical-roadmap in aipoch/medical-research-skills) into .agents/skills/text-to-technical-roadmap in your project. Codex loads it when a task matches its description.

Can I use Text To Technical Roadmap 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 aipoch/medical-research-skills --skill text-to-technical-roadmap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/text-to-technical-roadmap, .gemini/skills/text-to-technical-roadmap, .github/skills/text-to-technical-roadmap and .opencode/skills/text-to-technical-roadmap in your project.

What does Text To Technical Roadmap need to run?

SKILL.md names no scripts, command-line tools or credentials: Text To Technical Roadmap is instructions for the agent only.

Does Text To Technical Roadmap 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 Text To Technical Roadmap 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 Text To Technical Roadmap use?

Text To Technical Roadmap is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Text To Technical Roadmap use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 346 tokens, read only when the agent opens those files.

What are the alternatives to Text To Technical Roadmap?

Skills that share tags, products or a category with Text To Technical Roadmap: Design Deck (nicobailon/pi-design-deck, 291 stars), Discover Journey Map (product-on-purpose/pm-skills, 715 stars), UX Flows (genkovich/sdd, 171 stars) and User Journey Map (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Text To Technical Roadmap?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,978 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.