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.
Convert a project complexity diagnosis into a practical intervention plan.
Install Project Complexity Action Planner
$ npx skills add maiobarbero/my-ai-workflow --skill project-complexity-action-planner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-action-planner --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-action-planner .claude/skills/project-complexity-action-planner && 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-action-planner" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-action-planner into .claude/skills/project-complexity-action-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-action-planner", 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-action-plannerType 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-action-planner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-action-planner --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-action-planner .agents/skills/project-complexity-action-planner && 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-action-planner" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-action-planner into .agents/skills/project-complexity-action-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-action-planner", 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-action-planner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-action-planner --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-action-planner .cursor/skills/project-complexity-action-planner && 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-action-planner" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-action-planner into .cursor/skills/project-complexity-action-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-action-planner", 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-action-planner--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-action-planner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install maiobarbero/my-ai-workflow project-complexity-action-planner --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-action-planner .gemini/skills/project-complexity-action-planner && 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-action-planner" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-action-planner into .gemini/skills/project-complexity-action-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-action-planner", 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-action-plannerInstalls 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-action-planner -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-action-planner .github/skills/project-complexity-action-planner && 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-action-planner" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-action-planner into .github/skills/project-complexity-action-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-action-planner", 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-action-planner -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-action-planner --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-action-planner .opencode/skills/project-complexity-action-planner && 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-action-planner" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/project-complexity-action-planner into .opencode/skills/project-complexity-action-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-complexity-action-planner", 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-action-planner- GitHub stars
- 140
- Token cost
- ~932 tokens
- SKILL.md length
- 407 words
- Files
- 5 (incl. references)
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- None found
At a glance
Convert a project complexity diagnosis into a practical intervention plan.
- Works in 7 steps: Read the complexity diagnosis,… → Extract hotspots, TOE category,… → If key inputs are missing, infer… → …
- Provides a TOE findings table
- SKILL.md covers Core Workflow, Input Rules, Scope and References, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Project Complexity Action Planner is an agent skill from maiobarbero/my-ai-workflow. Convert a project complexity diagnosis into a practical intervention plan. Use after project-complexity-mapper, especially when the user provides a TOE findings table, quadrant chart, hotspot quadrants, management-fit table, or handoff table and wants actions, interventions, sequencing, owners, or next steps.
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/handoff-input.md`, `references/intervention-catalog.md` and `references/output-format.md`).
It sits in Product & Project Management.
When your agent uses it
- Provides a TOE findings table
- Hotspot quadrants
- Management-fit table
- Handoff table and wants actions
Example prompts
- “/project-complexity-action-planner”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Read the complexity diagnosis, especially the Handoff, Management Fit,
- Extract hotspots, TOE category, severity, quadrant, and recommended fit.
- If key inputs are missing, infer cautiously and mark assumptions.
- Ask at most one clarification question when the missing answer would change
- Convert each hotspot into controlling and/or connecting interventions.
- Sequence actions by urgency, dependency, and lifecycle phase.
- Output the plan using references/output-format.md.
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 Action Planner loads about 932 tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 407 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 407 words (~932 tokens).
“Turn the output of project-complexity-mapper into a concise, actionable management intervention plan. This skill does not diagnose complexity from scratch. It consumes the previous diagnosis and turns it into actions.”
- name
- project-complexity-action-planner
Files
SKILL.md and 4 other files (references) in skills/project-complexity-action-planner of maiobarbero/my-ai-workflow.
- SKILL.md
- references/handoff-input.md
- references/intervention-catalog.md
- references/output-format.md
- references/planning-rules.md
Open the folder on GitHubat commit 7748c8e
Compare with similar skills
Project Complexity Action Planner 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 Action Planner this skillmaiobarbero/my-ai-workflow | 140 | — | ~932 | 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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More from maiobarbero/my-ai-workflow
Project Complexity Mapper
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Diagnose project complexity from a rough project description using the DelftX TOE framework and detail/dynamic complexity model.
Code Review
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Perform a language-agnostic first-pass code review covering logic errors, bad practices, operation ordering, magic strings, pattern improvements, strict type checking, and SQL injection.
Final Audit
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Run a cross-cutting audit across all code produced for a feature.
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Break an issue file into concrete, ordered, AI-executable tasks.
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Break a PRD into independently-grabbable issues using tracer-bullet vertical slices.
Write A Prd
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Create a PRD through user interview, codebase exploration, and module design, then save it as a file.
Related
Categories
Questions about Project Complexity Action Planner
What does Project Complexity Action Planner do?
Convert a project complexity diagnosis into a practical intervention plan. Project Complexity Action Planner is an agent skill from maiobarbero/my-ai-workflow. Convert a project complexity diagnosis into a practical intervention plan.
When should I use Project Complexity Action Planner?
Project Complexity Action Planner fits situations like: provides a TOE findings table; hotspot quadrants; management-fit table; handoff table and wants actions.
How do I install Project Complexity Action Planner in Claude Code?
Run `npx skills add maiobarbero/my-ai-workflow --skill project-complexity-action-planner -a claude-code`. Or copy the skill folder (skills/project-complexity-action-planner in maiobarbero/my-ai-workflow) into .claude/skills/project-complexity-action-planner in your project. Claude Code loads it when a task matches its description.
How do I install Project Complexity Action Planner in Codex?
Run `npx skills add maiobarbero/my-ai-workflow --skill project-complexity-action-planner -a codex`. Or copy the skill folder (skills/project-complexity-action-planner in maiobarbero/my-ai-workflow) into .agents/skills/project-complexity-action-planner in your project. Codex loads it when a task matches its description.
Can I use Project Complexity Action Planner 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-action-planner -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-action-planner, .gemini/skills/project-complexity-action-planner, .github/skills/project-complexity-action-planner and .opencode/skills/project-complexity-action-planner in your project.
What does Project Complexity Action Planner need to run?
SKILL.md names no scripts, command-line tools or credentials: Project Complexity Action Planner is instructions for the agent only.
Does Project Complexity Action Planner 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 Action Planner 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 Action Planner use?
No licence was found for Project Complexity Action Planner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Project Complexity Action Planner use?
About 932 tokens (SKILL.md is roughly 3.7k 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 2.8k tokens, read only when the agent opens those files.
What are the alternatives to Project Complexity Action Planner?
Skills that share tags, products or a category with Project Complexity Action Planner: 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 Action Planner?
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.