User Story Writer
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
Diagnose project complexity from a rough project description using the DelftX TOE framework and detail/dynamic complexity model.
Install Project Complexity Mapper
$ npx skills add maiobarbero/my-ai-workflow --skill project-complexity-mapper -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-mapper --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/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/project-complexity-mapper .claude/skills/project-complexity-mapper && 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 "project-complexity-mapper" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-mapper into .claude/skills/project-complexity-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-mapper", 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/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-mapperType 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 maiobarbero/my-ai-workflow --skill project-complexity-mapper -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-mapper --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/project-complexity-mapper .agents/skills/project-complexity-mapper && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "project-complexity-mapper" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-mapper into .agents/skills/project-complexity-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-mapper", 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 maiobarbero/my-ai-workflow --skill project-complexity-mapper -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-mapper --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/project-complexity-mapper .cursor/skills/project-complexity-mapper && 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 "project-complexity-mapper" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-mapper into .cursor/skills/project-complexity-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-mapper", 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/maiobarbero/my-ai-workflow.git --path skills/project-complexity-mapper--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 maiobarbero/my-ai-workflow --skill project-complexity-mapper -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-mapper --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/project-complexity-mapper .gemini/skills/project-complexity-mapper && 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 "project-complexity-mapper" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-mapper into .gemini/skills/project-complexity-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-mapper", 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 maiobarbero/my-ai-workflow project-complexity-mapperInstalls 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 maiobarbero/my-ai-workflow --skill project-complexity-mapper -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/project-complexity-mapper .github/skills/project-complexity-mapper && 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 "project-complexity-mapper" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-mapper into .github/skills/project-complexity-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-mapper", 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 maiobarbero/my-ai-workflow --skill project-complexity-mapper -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-mapper --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/project-complexity-mapper .opencode/skills/project-complexity-mapper && 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 "project-complexity-mapper" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-mapper into .opencode/skills/project-complexity-mapper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-mapper", 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
project-complexity-mapper- GitHub stars
- 140
- Token cost
- ~994 tokens
- SKILL.md length
- 478 words
- Files
- 5 (incl. references)
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- None found
At a glance
Diagnose project complexity from a rough project description using the DelftX TOE framework and detail/dynamic complexity model.
- Works in 9 steps: Read the user's project description. → Run a fast first-pass complexity scan by… → Infer likely Technical, Organizational,… → …
- The user wants to map
- SKILL.md covers Core Workflow, Assessment Modes, References and Input Rules, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Project Complexity Mapper is an agent skill from maiobarbero/my-ai-workflow. Diagnose project complexity from a rough project description using the DelftX TOE framework and detail/dynamic complexity model. Use when the user wants to map, score, visualize, or understand project complexity; create a TOE matrix; generate a quadrant chart; or choose a fit-for-purpose management approach.
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/management-approaches.md`, `references/output-format.md` and `references/scoring-rules.md`).
It sits in Product & Project Management.
When your agent uses it
- The user wants to map
- Understand project complexity
- Create a TOE matrix
- Generate a quadrant chart
Example prompts
- “/project-complexity-mapper”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Read the user's project description.
- Run a fast first-pass complexity scan by default.
- Infer likely Technical, Organizational, and External complexity elements.
- Ask only the few questions needed to resolve high-impact uncertainty.
- Score relevant elements by TOE contribution, detail complexity, dynamic
- Output the report using references/output-format.md.
- Include both overall project quadrant and per-hotspot quadrants.
- Include a Mermaid quadrant chart for the main hotspots.
- End with a human-readable handoff table.
What it can do on your machine
Read from SKILL.md and the folder at commit 7748c8e. 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
Project Complexity Mapper loads about 994 tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 478 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 478 words (~994 tokens).
“Turn a rough project description, project idea, or messy notes into a structured complexity diagnosis. The output is a TOE assessment, overall and hotspot quadrants, a Mermaid quadrant chart, and management-fit guidance.”
- name
- project-complexity-mapper
Files
SKILL.md and 4 other files (references) in skills/project-complexity-mapper of maiobarbero/my-ai-workflow.
- SKILL.md
- references/management-approaches.md
- references/output-format.md
- references/scoring-rules.md
- references/toe-elements.md
Open the folder on GitHubat commit 7748c8e
Compare with similar skills
Project Complexity Mapper 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 |
|---|---|---|---|---|---|---|
| Project Complexity Mapper this skillmaiobarbero/my-ai-workflow | 140 | — | ~994 | Automated safety check: Pass | None | |
| User Story Writerdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~2.9k | Automated safety check: Pass | Custom licence | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Convex Create Componentspokvulcan/poker-planning | 114 | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Self Improving Agentfarm-fe/farm | 5.6k | 2 repos | ~3.3k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Project Complexity Mapper
What does Project Complexity Mapper do?
Diagnose project complexity from a rough project description using the DelftX TOE framework and detail/dynamic complexity model. Project Complexity Mapper is an agent skill from maiobarbero/my-ai-workflow. Diagnose project complexity from a rough project description using the DelftX TOE framework and detail/dynamic complexity model.
When should I use Project Complexity Mapper?
Project Complexity Mapper fits situations like: the user wants to map; understand project complexity; create a TOE matrix; generate a quadrant chart.
How do I install Project Complexity Mapper in Claude Code?
Run `npx skills add maiobarbero/my-ai-workflow --skill project-complexity-mapper -a claude-code`. Or copy the skill folder (skills/project-complexity-mapper in maiobarbero/my-ai-workflow) into .claude/skills/project-complexity-mapper in your project. Claude Code loads it when a task matches its description.
How do I install Project Complexity Mapper in Codex?
Run `npx skills add maiobarbero/my-ai-workflow --skill project-complexity-mapper -a codex`. Or copy the skill folder (skills/project-complexity-mapper in maiobarbero/my-ai-workflow) into .agents/skills/project-complexity-mapper in your project. Codex loads it when a task matches its description.
Can I use Project Complexity Mapper 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 maiobarbero/my-ai-workflow --skill project-complexity-mapper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/project-complexity-mapper, .gemini/skills/project-complexity-mapper, .github/skills/project-complexity-mapper and .opencode/skills/project-complexity-mapper in your project.
What does Project Complexity Mapper need to run?
SKILL.md names no scripts, command-line tools or credentials: Project Complexity Mapper is instructions for the agent only.
Does Project Complexity Mapper 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 Project Complexity Mapper 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 Project Complexity Mapper use?
No licence was found for Project Complexity Mapper or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Project Complexity Mapper use?
About 994 tokens (SKILL.md is roughly 4k 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 4.2k tokens, read only when the agent opens those files.
What are the alternatives to Project Complexity Mapper?
Skills that share tags, products or a category with Project Complexity Mapper: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Convex Create Component (spokvulcan/poker-planning, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Project Complexity Mapper?
maiobarbero (a GitHub user) maintains it in maiobarbero/my-ai-workflow, which has 140 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on May 7, 2026.
Source: maiobarbero/my-ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.