Graph
smallnest/goal-workflow
Graph engineering for parallel task execution: convert a task, PRD, SPEC, or issue set into a dependency graph (DAG), layer it into supersteps, then implement each independent node concurrently with…
Project-level multi-task orchestration system. An agent skill from Taoidle/plan-cascade.
$ npx skills add Taoidle/plan-cascade --skill mega-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Taoidle/plan-cascade mega-plan --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/Taoidle/plan-cascade.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mega-plan .claude/skills/mega-plan && 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 "mega-plan" agent skill from https://github.com/Taoidle/plan-cascade/tree/master/skills/mega-plan into .claude/skills/mega-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mega-plan", 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/Taoidle/plan-cascade/tree/master/skills/mega-planType 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 Taoidle/plan-cascade --skill mega-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Taoidle/plan-cascade mega-plan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Taoidle/plan-cascade.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mega-plan .agents/skills/mega-plan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mega-plan" agent skill from https://github.com/Taoidle/plan-cascade/tree/master/skills/mega-plan into .agents/skills/mega-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mega-plan", 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 Taoidle/plan-cascade --skill mega-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Taoidle/plan-cascade mega-plan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Taoidle/plan-cascade.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mega-plan .cursor/skills/mega-plan && 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 "mega-plan" agent skill from https://github.com/Taoidle/plan-cascade/tree/master/skills/mega-plan into .cursor/skills/mega-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mega-plan", 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/Taoidle/plan-cascade.git --path skills/mega-plan--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 Taoidle/plan-cascade --skill mega-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Taoidle/plan-cascade mega-plan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Taoidle/plan-cascade.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mega-plan .gemini/skills/mega-plan && 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 "mega-plan" agent skill from https://github.com/Taoidle/plan-cascade/tree/master/skills/mega-plan into .gemini/skills/mega-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mega-plan", 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 Taoidle/plan-cascade mega-planInstalls 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 Taoidle/plan-cascade --skill mega-plan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Taoidle/plan-cascade.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mega-plan .github/skills/mega-plan && 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 "mega-plan" agent skill from https://github.com/Taoidle/plan-cascade/tree/master/skills/mega-plan into .github/skills/mega-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mega-plan", 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 Taoidle/plan-cascade --skill mega-plan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Taoidle/plan-cascade mega-plan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Taoidle/plan-cascade.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mega-plan .opencode/skills/mega-plan && 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 "mega-plan" agent skill from https://github.com/Taoidle/plan-cascade/tree/master/skills/mega-plan into .opencode/skills/mega-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mega-plan", 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.
mega-planProject-level multi-task orchestration system. An agent skill from Taoidle/plan-cascade.
Mega Plan is an agent skill from Taoidle/plan-cascade. Project-level multi-task orchestration system. Manages multiple hybrid:worktree features in parallel with dependency resolution, coordinated PRD generation, and unified merge workflow.
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts (for example `commands/approve.md`, `commands/complete.md` and `commands/edit.md`).
It sits in Product & Project Management, covering PRD writing and Git worktrees. The repository describes itself as: AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude… The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5223f82. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashTaskGlobGrepAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mega Plan loads about 3.4k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 831 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Bash, Task, Glob, Grep, AskUserQuestionAutomated 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); the scripts in this folder are not scanned.
The full file from Taoidle/plan-cascade at commit 5223f82, republished under its MIT licence (© Taoidle). 831 words, ~3,438 tokens.
.claude/skills/mega-plan/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.A project-level orchestration system that sits above hybrid-ralph to manage multiple parallel features as a unified project plan.
At the START of any interaction, perform this check to recover context after compression/truncation:
Check if .mega-execution-context.md exists in the project root
If YES:
/mega:resume --auto-prdIf NO but mega-plan.json exists:
uv run python "${CLAUDE_PLUGIN_ROOT}/skills/mega-plan/scripts/mega-context-reminder.py" bothThis ensures context recovery even after:
Level 1: Mega Plan (Project Level)
└── Level 2: Features (Feature Level) = hybrid:worktree
└── Level 3: Stories (Story Level) = hybrid internal parallelismGenerate a mega-plan from your project description:
/mega:plan Build an e-commerce platform with user authentication, product catalog, shopping cart, and order processingThis will:
mega-plan.json, mega-findings.md, .mega-status.jsonAfter reviewing the mega-plan:
/mega:approveOr with automatic PRD approval for all features:
/mega:approve --auto-prdThis will:
--auto-prd)/mega:statusShows:
When all features are complete:
/mega:completeThis will:
project-root/
├── mega-plan.json # Project-level plan
├── mega-findings.md # Shared findings (read-only in worktrees)
├── .mega-status.json # Execution status
├── .worktree/
│ ├── feature-auth/
│ │ ├── prd.json # Feature PRD
│ │ ├── findings.md # Feature-specific findings
│ │ ├── progress.txt # Story progress
│ │ ├── mega-findings.md # Read-only link to shared findings
│ │ └── .planning-config.json
│ └── feature-products/
│ └── ...Generate a mega-plan for project-level multi-feature orchestration. Breaks a complex project into parallel features with dependencies.
/mega:plan [options] <project description> [design-doc-path]Parameters:
| Parameter | Description |
|---|---|
--flow <quick|standard|full> | Execution flow depth controlling quality gate strictness |
--tdd <off|on|auto> | Test-Driven Development mode for feature execution |
--confirm | Require confirmation before each batch |
--no-confirm | Disable batch confirmation |
--spec <off|auto|on> | Spec interview before plan generation |
--first-principles | Enable first-principles questioning in spec interview |
--max-questions N | Max questions in spec interview |
design-doc-path | Optional path to existing design document |
Parameters are saved to mega-plan.json and propagated to /mega:approve and feature-level /approve commands.
Example:
/mega:plan --flow full --tdd auto Create a blog platform with user accounts, article management, comments, and RSS feedsEdit the mega-plan interactively. Add, remove, or modify features.
/mega:editApprove the mega-plan and start feature execution. Creates worktrees and generates PRDs for each feature in batch-by-batch order.
/mega:approve [options]Parameters:
| Parameter | Description |
|---|---|
--flow <quick|standard|full> | Execution flow depth for feature execution |
--tdd <off|on|auto> | TDD mode propagated to feature execution |
--confirm | Require confirmation before each batch |
--no-confirm | Disable batch confirmation |
--spec <off|auto|on> | Spec interview for feature PRD generation |
--first-principles | First-principles questioning for spec interviews |
--max-questions N | Max questions in spec interviews |
--auto-prd | Auto-approve all generated PRDs (skip manual review) |
--agent <name> | Global agent override |
--prd-agent <name> | Agent for PRD generation phase |
--impl-agent <name> | Agent for story implementation phase |
Approval Modes:
| Mode | Trigger | Use Case |
|---|---|---|
| Manual PRD Review | /mega:approve | Review each feature's PRD before execution |
| Auto PRD Approval | /mega:approve --auto-prd | Trust PRD generation, fully automated execution |
Show detailed status of mega-plan execution including feature progress, story completion, and batch summary.
/mega:statusComplete the mega-plan by cleaning up planning files. All features should already be merged via /mega:approve.
/mega:complete{
"metadata": {
"created_at": "2026-01-28T10:00:00Z",
"version": "1.0.0"
},
"goal": "Project goal",
"description": "Original user description",
"execution_mode": "auto",
"target_branch": "main",
"features": [
{
"id": "feature-001",
"name": "feature-auth",
"title": "User Authentication",
"description": "Detailed description for PRD generation",
"priority": "high",
"dependencies": [],
"status": "pending"
}
]
}pending → prd_generated → approved → in_progress → complete
↓
failed| Status | Description |
|---|---|
pending | Feature not yet started |
prd_generated | Worktree created, PRD generated |
approved | PRD approved, ready for execution |
in_progress | Stories are being executed |
complete | All stories complete |
failed | Feature execution failed |
Features and their story batches execute automatically:
Batch 1 (Features) → PRDs generated → approved → stories execute → complete
↓
Batch 2 (Features) → PRDs generated → approved → stories execute → complete
↓
All complete → /mega:completeEach batch waits for explicit confirmation:
Batch 1 → PRDs generated → [you review] → /approve in each worktree
↓
Batch 2 → PRDs generated → [you review] → /approve in each worktree
↓
All complete → /mega:complete1. /mega:plan "Build e-commerce platform"
↓
2. Review generated mega-plan.json
↓
3. /mega:edit (if needed) or /mega:approve
↓
4. Feature worktrees created (Batch 1)
↓
5. PRDs generated in each worktree
↓
6. Review and /approve in each worktree (or use --auto-prd)
↓
7. Stories execute in parallel
↓
8. Monitor with /mega:status
↓
9. Batch 2 features start when Batch 1 complete
↓
10. All complete → /mega:complete# Terminal 1: Main orchestration
/mega:plan "Project description"
/mega:approve
/mega:status # Monitor progress
# Terminal 2: Feature 1 work
cd .worktree/feature-auth
/approve # Approve PRD
# ... stories execute ...
# Terminal 3: Feature 2 work (parallel!)
cd .worktree/feature-products
/approve # Approve PRD
# ... stories execute ...
# Terminal 1: After all complete
/mega:completeMega Plan orchestrates multiple hybrid-ralph workflows:
| Component | Mega Plan | Hybrid Ralph |
|---|---|---|
| Scope | Project-level | Feature-level |
| Unit | Features | Stories |
| Files | mega-plan.json | prd.json |
| Findings | mega-findings.md (shared) | findings.md (per-feature) |
| Worktrees | Creates for features | Works within worktree |
| Merge | All features → target | N/A (handled by mega) |
Generates mega-plan from project descriptions.
# Validate mega-plan
uv run python mega_generator.py validate
# Show execution batches
uv run python mega_generator.py batches
# Show progress
uv run python mega_generator.py progressThread-safe state management.
# Read mega-plan
uv run python mega_state.py read-plan
# Read status
uv run python mega_state.py read-status
# Sync from worktrees
uv run python mega_state.py sync-worktreesOrchestrates feature execution.
# Show execution plan
uv run python feature_orchestrator.py plan
# Show status
uv run python feature_orchestrator.py statusCoordinates final merge.
# Verify all complete
uv run python merge_coordinator.py verify
# Show merge plan
uv run python merge_coordinator.py plan
# Complete (merge & cleanup)
uv run python merge_coordinator.py complete/mega:status regularly to track executionError: Worktree already existsSolution: Remove stale worktree or use different feature name.
Error: Merge conflict in feature-001Solution:
/mega:completeError: Incomplete features: feature-002, feature-003Solution:
/mega:status for details/mega:complete© Taoidle, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts) in skills/mega-plan of Taoidle/plan-cascade.
Open the folder on GitHubat commit 5223f82
Mega Plan 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 |
|---|---|---|---|---|---|---|
| Mega Plan this skillTaoidle/plan-cascade | 133 | — | ~3.4k | Automated safety check: Notes | MIT | |
| Graphsmallnest/goal-workflow | 288 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Shep Workstreamsshep-ai/shep | 264 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Execute Fleetanombyte93/prd-taskmaster | 604 | — | ~2.2k | Automated safety check: Notes | MIT | |
| Worktree Prdvfarcic/dot-agent-deck | 109 | — | ~503 | Automated safety check: Pass | MIT | |
| Autodev Paralleljh941213/my-cc-harness | 126 | — | ~958 | Automated safety check: Notes | None |
smallnest/goal-workflow
Graph engineering for parallel task execution: convert a task, PRD, SPEC, or issue set into a dependency graph (DAG), layer it into supersteps, then implement each independent node concurrently with…
shep-ai/shep
A skill your agent uses when a large body of work (a version milestone, an epic, a roadmap, a set of PRDs/design docs) needs to be broken into parallel workstreams and executed with the shep CLI.
anombyte93/prd-taskmaster
Phase execution skill for licensed Atlas Fleet runs. An agent skill from anombyte93/prd-taskmaster.
vfarcic/dot-agent-deck
Create a git worktree for PRD work with a descriptive branch name.
jh941213/my-cc-harness
Ralph Loop 병렬 버전. An agent skill from jh941213/my-cc-harness.
jh941213/my-cc-harness
Parallel version of the Ralph Loop. An agent skill from jh941213/my-cc-harness.
Taoidle/plan-cascade
Go coding best practices. An agent skill from Taoidle/plan-cascade.
Taoidle/plan-cascade
Hybrid architecture combining Ralph's PRD format with Planning-with-Files' structured approach.
Taoidle/plan-cascade
Java coding best practices. An agent skill from Taoidle/plan-cascade.
Taoidle/plan-cascade
Python coding best practices. An agent skill from Taoidle/plan-cascade.
Taoidle/plan-cascade
TypeScript/Node.js best practices. An agent skill from Taoidle/plan-cascade.
Categories
Project-level multi-task orchestration system. An agent skill from Taoidle/plan-cascade. Mega Plan is an agent skill from Taoidle/plan-cascade. Project-level multi-task orchestration system.
Mega Plan fits situations like: tasks that involve PRD writing; tasks that involve Git worktrees.
Run `npx skills add Taoidle/plan-cascade --skill mega-plan -a claude-code`. Or copy the skill folder (skills/mega-plan in Taoidle/plan-cascade) into .claude/skills/mega-plan in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Taoidle/plan-cascade --skill mega-plan -a codex`. Or copy the skill folder (skills/mega-plan in Taoidle/plan-cascade) into .agents/skills/mega-plan in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Taoidle/plan-cascade --skill mega-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mega-plan, .gemini/skills/mega-plan, .github/skills/mega-plan and .opencode/skills/mega-plan in your project.
Going by SKILL.md and its folder, Mega Plan needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Task, Glob, Grep, AskUserQuestion.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Mega Plan is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mega Plan: Graph (smallnest/goal-workflow, 288 stars), Shep Workstreams (shep-ai/shep, 264 stars), Execute Fleet (anombyte93/prd-taskmaster, 604 stars) and Worktree Prd (vfarcic/dot-agent-deck, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Taoidle (a GitHub user) maintains it in Taoidle/plan-cascade, which has 133 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on March 14, 2026.
Source: Taoidle/plan-cascade on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.