CCPM Project Management
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
Scan a markdown artifact (idea, stories, PRD, spec) for blind spots into a shadow report grouped by category and severity.
Install 03 Shadow Areas
$ npx skills add ai-driven-dev/framework --skill 03-shadow-areas -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ai-driven-dev/framework 03-shadow-areas --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/ai-driven-dev/framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aidd-refine/skills/03-shadow-areas .claude/skills/03-shadow-areas && 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 "03-shadow-areas" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/03-shadow-areas into .claude/skills/03-shadow-areas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-shadow-areas", 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/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/03-shadow-areasType 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 ai-driven-dev/framework --skill 03-shadow-areas -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ai-driven-dev/framework 03-shadow-areas --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/aidd-refine/skills/03-shadow-areas .agents/skills/03-shadow-areas && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "03-shadow-areas" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/03-shadow-areas into .agents/skills/03-shadow-areas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-shadow-areas", 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 ai-driven-dev/framework --skill 03-shadow-areas -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ai-driven-dev/framework 03-shadow-areas --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/aidd-refine/skills/03-shadow-areas .cursor/skills/03-shadow-areas && 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 "03-shadow-areas" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/03-shadow-areas into .cursor/skills/03-shadow-areas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-shadow-areas", 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/ai-driven-dev/framework.git --path plugins/aidd-refine/skills/03-shadow-areas--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 ai-driven-dev/framework --skill 03-shadow-areas -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ai-driven-dev/framework 03-shadow-areas --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/aidd-refine/skills/03-shadow-areas .gemini/skills/03-shadow-areas && 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 "03-shadow-areas" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/03-shadow-areas into .gemini/skills/03-shadow-areas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-shadow-areas", 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 ai-driven-dev/framework 03-shadow-areasInstalls 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 ai-driven-dev/framework --skill 03-shadow-areas -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/aidd-refine/skills/03-shadow-areas .github/skills/03-shadow-areas && 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 "03-shadow-areas" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/03-shadow-areas into .github/skills/03-shadow-areas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-shadow-areas", 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 ai-driven-dev/framework --skill 03-shadow-areas -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ai-driven-dev/framework 03-shadow-areas --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/aidd-refine/skills/03-shadow-areas .opencode/skills/03-shadow-areas && 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 "03-shadow-areas" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/03-shadow-areas into .opencode/skills/03-shadow-areas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "03-shadow-areas", 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
03-shadow-areas- GitHub stars
- 513
- Token cost
- ~638 tokens
- SKILL.md length
- 256 words
- Files
- 9 (incl. references, assets)
- Skills in repo
- 46
- Repo updated
- First seen
- Licence
- MIT
At a glance
Scan a markdown artifact (idea, stories, PRD, spec) for blind spots into a shadow report grouped by category and severity.
- What is missing in a written artifact
- SKILL.md covers Actions, Transversal rules, References and Assets
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve PRD writing
What it does
03 Shadow Areas is an agent skill from ai-driven-dev/framework. Scan a markdown artifact (idea, stories, PRD, spec) for blind spots into a shadow report grouped by category and severity. Use to find gaps or what is missing in a written artifact. Not for interactive Q&A or code review.
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files and assets (for example `actions/01-detect.md`, `actions/02-render-report.md` and `actions/03-diff.md`).
It sits in Product & Project Management, covering PRD writing. The repository describes itself as: Marketplace Framework AI-Driven Dev : Context Engineering, Plugins, Agents, Skills, Hooks, Templates, SDLC. The licence is MIT.
When your agent uses it
- What is missing in a written artifact
- Tasks that involve PRD writing
Example prompts
- “/03-shadow-areas”
What it can do on your machine
Read from SKILL.md and the folder at commit 6e30640. 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
03 Shadow Areas loads about 638 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 256 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 ai-driven-dev/framework at commit 6e30640, republished under its MIT licence (© ai-driven-dev). 256 words, ~638 tokens.
Download SKILL.mdSave it as
.claude/skills/03-shadow-areas/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- 03-shadow-areas
- description
- Scan a markdown artifact (idea, stories, PRD, spec) for blind spots into a shadow report grouped by category and severity. Use to find gaps or what is missing in a written artifact. Not for interactive Q&A or code review.
- argument-hint
- file | text
Shadow Areas
Analytically scans a written artifact for gaps the author has not addressed. Unlike iterative Q&A clarification, this skill reads the existing material and emits a structured report: each gap carries a category from a locked 7-category taxonomy, a 3-tier severity, and a direct-question probe the author can act on immediately.
Actions
| # | Action | Role | Input |
|---|---|---|---|
| 01 | detect | Parse input, extract gaps, classify category and severity, emit probes | file path or inline text |
| 02 | render-report | Render markdown grouped by category and sorted by severity, write report | gap list from detect |
| 03 | diff | Load prior report, classify gaps as closed / still-open / newly-introduced | gap list from detect + prior report path |
Dispatch by context: with no prior report run detect then render-report; with one, run detect then diff.
Before running an action, read its file in actions/, not only the table or assets.
Transversal rules
- Never modify the source artifact.
- Every gap carries all three: a category, a severity, and a probe question.
- Every probe is a direct question ending with
?. - Categories and severities come from the locked sets in
references/locked-sets.json. - When zero blockers and zero majors remain, stamp the report
status: clean. - On re-runs, gaps are matched by category and snippet, never by question wording, so rephrasing a question never creates a spurious "newly introduced" gap.
References
references/categories.md: locked 7-category taxonomy with definition and example per category.references/severity-rubric.md: blocker / major / minor decision rules and examples.references/probe-style.md: direct-question form rules.references/locked-sets.json: machine-readable sets reused by the validator.
Assets
assets/report-template.md: report skeleton with header, per-category sections, andstatus: cleanblock.
© ai-driven-dev, 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 8 other files (references, assets) in plugins/aidd-refine/skills/03-shadow-areas of ai-driven-dev/framework.
- SKILL.md
- actions/01-detect.md
- actions/02-render-report.md
- actions/03-diff.md
- assets/report-template.md
- references/categories.md
- references/locked-sets.json
- references/probe-style.md
- references/severity-rubric.md
Open the folder on GitHubat commit 6e30640
Compare with similar skills
03 Shadow Areas 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 |
|---|---|---|---|---|---|---|
| 03 Shadow Areas this skillai-driven-dev/framework | 513 | — | ~638 | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| To Issuesywwynm/EverythingDone | 144 | 12 repos | ~893 | Automated safety check: Pass | GPL-3.0 | |
| ArchitectHainrixz/the-architect | 533 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Cabloy Spec Generationcabloy/cabloy | 982 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Schematicblader/schematic | 240 | — | ~2.2k | Automated safety check: Pass | MIT |
Similar skills
To Issues
ywwynm/EverythingDone
Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices.
Architect
Hainrixz/the-architect
Interview the user about what they want to build, design the full architecture, and emit a self-contained blueprint another Claude Code instance can build from with zero prior context.
Cabloy Spec Generation
cabloy/cabloy
A skill your agent uses to create or maintain Cabloy suite specifications under repo-specs, including PRD, SRS, PDP/WBS, acceptance planning, progress, and suite ADRs.
Schematic
blader/schematic
Reverse engineer a detailed product and technical specification document from a git branch's implementation.
Design Deck
nicobailon/pi-design-deck
Present visual options for architecture, UI, and code decisions with high-fidelity side-by-side previews.
More from ai-driven-dev/framework
All 46 skills in this repo00 Async Dev
ai-driven-dev/framework
Drive the async-dev pipeline from one entry point, whether setup, run, or review.
01 Plan
ai-driven-dev/framework
Turn a request, ticket, or file into a phased implementation plan.
01 Sdlc
ai-driven-dev/framework
Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge.
02 Backlog
ai-driven-dev/framework
Orchestrates a product backlog end to end. An agent skill from ai-driven-dev/framework.
00 Onboard
ai-driven-dev/framework
Guide a project's journey through AIDD, from first setup to shipping a feature.
01 Acceptance QA
ai-driven-dev/framework
Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence.
Related
Categories
Questions about 03 Shadow Areas
What does 03 Shadow Areas do?
Scan a markdown artifact (idea, stories, PRD, spec) for blind spots into a shadow report grouped by category and severity. 03 Shadow Areas is an agent skill from ai-driven-dev/framework. Scan a markdown artifact (idea, stories, PRD, spec) for blind spots into a shadow report grouped by category and severity.
When should I use 03 Shadow Areas?
03 Shadow Areas fits situations like: what is missing in a written artifact; tasks that involve PRD writing.
How do I install 03 Shadow Areas in Claude Code?
Run `npx skills add ai-driven-dev/framework --skill 03-shadow-areas -a claude-code`. Or copy the skill folder (plugins/aidd-refine/skills/03-shadow-areas in ai-driven-dev/framework) into .claude/skills/03-shadow-areas in your project. Claude Code loads it when a task matches its description.
How do I install 03 Shadow Areas in Codex?
Run `npx skills add ai-driven-dev/framework --skill 03-shadow-areas -a codex`. Or copy the skill folder (plugins/aidd-refine/skills/03-shadow-areas in ai-driven-dev/framework) into .agents/skills/03-shadow-areas in your project. Codex loads it when a task matches its description.
Can I use 03 Shadow Areas 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 ai-driven-dev/framework --skill 03-shadow-areas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/03-shadow-areas, .gemini/skills/03-shadow-areas, .github/skills/03-shadow-areas and .opencode/skills/03-shadow-areas in your project.
What does 03 Shadow Areas need to run?
SKILL.md names no scripts, command-line tools or credentials: 03 Shadow Areas is instructions for the agent only.
Does 03 Shadow Areas 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 03 Shadow Areas 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 03 Shadow Areas use?
03 Shadow Areas 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 03 Shadow Areas use?
About 638 tokens (SKILL.md is roughly 2.6k 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 2.6k tokens, read only when the agent opens those files.
What are the alternatives to 03 Shadow Areas?
Skills that share tags, products or a category with 03 Shadow Areas: CCPM Project Management (automazeio/ccpm, 8.4k stars), To Issues (ywwynm/EverythingDone, 144 stars), Architect (Hainrixz/the-architect, 533 stars) and Cabloy Spec Generation (cabloy/cabloy, 982 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 03 Shadow Areas?
ai-driven-dev (a GitHub organization) maintains it in ai-driven-dev/framework, which has 513 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 8, 2026.
Source: ai-driven-dev/framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.