Chalk Labs
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Install
Works with Claude Code. Read the repository before you give any tool access to your data.
npx agentmarket install skill/eroslifestyle-multi-plan-d9af5c
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/multi-plan
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Grep,Glob,Task
What's inside
- Skill name
multi-plan- Description
- Create a multi-agent execution plan for complex tasks. Use /multi-plan for parallel agent coordination planning.
- License
- MIT
- Allowed tools
- Read,, Grep,, Glob,, Task
- Instructions
- 129 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Multi-Plan Skill - Parallel Agent Execution Planning ## Purpose Decompose a complex task into subtasks optimized for parallel multi-agent execution. Produces an execution plan that the orchestrator can run with maximum concurrency. ## Trigger User invokes `/multi-plan <complex task description>` or orchestrator delegates planning. ## Algorithm 1. **ANALYZE** the complex task: - Use Grep/Glob to understand the codebase scope - Use Read to examine key files and architecture - Identify all discrete units of work 2. **DECOMPOSE** into subtasks: - Each subtask must be independently executable by one agent - Each subtask must have clear inputs and outputs - Minimize dependencies between subtasks - Maximize parallel execution opportunities 3. **ASSIGN** agents to subtasks: - Match task type to specialist agent capabilities - Select appropriate model tier per task complexity - See Agent Selection Guide below 4. **BUILD** dependency graph: - Identify which tasks depend on outputs of other tasks - Group independent tasks into parallel groups - Calculate critical path (longest dependency chain) 5. **ESTIMATE** costs: - Token estimate per task based on complexity - Total estimated tokens for full plan 6. **PRODUCE** execution plan (see Output Format) ## Agent Selection Guide | Task Type | Agent | Model | |-----------|-------|-------| | Code implementation | Coder | haiku | | Test writing | Tester Expert | haiku | | Code review | Reviewer | haiku | | Architecture analysis | Analyzer | haiku | | Security review | Security Unified Expert | haiku | | Refactoring | Languages Refactor Specialist L2 | haiku | | Documentation | Documenter | haiku | | API design | Integration Expert | haiku | | Database work | Database Expert | haiku | | Code review (perf) | Reviewer | haiku | | Complex/critical tasks | Any specialist | opus | ## Output Format ```markdown # Multi-Agent Execution Plan ## Task: <task description> ## Generated: <date> ## Execution Table | # | Subtask | Agent | Model | Group | Depends On | Est. Tokens | |---|---------|-------|-------|-------|------------|-------------| | T1 | Set up data models | Coder | haiku | A | - | ~2K | | T2 | Write API endpoints | Coder | haiku | A | - | ~3K | | T3 | Write unit tests for models | Tester | haiku | A | - | ~2K | | T4 | Integration tests for API | Tester | haiku | B | T2 | ~2K | | T5 | Security review | Security | haiku | B | T1, T2 | ~1K | | T6 | Code review | Reviewer | haiku | C | T1, T2, T4 | ~2K | ## Parallel Groups | Group | Tasks | Can Start After | |-------|-------|-----------------| | A | T1, T2, T3 | Immediately | | B | T4, T5 | Group A completes | | C | T6 | Group B completes | ## Critical Path `T2 -> T4 -> T6` (3 sequential steps, ~7K tokens) ## Cost Estimate - Total tasks: 6 - Parallel groups: 3 - Estimated total tokens: ~12K - Estimated wall-clock steps: 3 (due to parallelism) - Speedup vs sequential: 2x ## Execution Command Ready for orchestrator: pass this plan to `/orchestrator` for execution. ``` ## Dependency Rules - A task can depend on 0 or more other tasks - Tasks with no dependencies go in the earliest parallel group - Tasks with dependencies go in the group AFTER all dependencies complete - Group letters (A, B, C...) indicate execution order - Within a group, ALL tasks run in parallel ## Token Estimation Guide | Task Complexity | Estimated Tokens | |----------------|-----------------| | Simple edit (1-2 files) | ~1K | | Moderate implementation (3-5 files) | ~2-3K | | Complex feature (5-10 files) | ~4-6K | | Large refactor (10+ files) | ~6-10K | | Analysis/review (read-only) | ~1-2K | ## Rules - NEVER create circular dependencies - ALWAYS maximize parallelism - if two tasks CAN run in parallel, they MUST be in the same group
From eroslifestyle/Claude-Orchestrator-Plugin, MIT.
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Go best practices, idioms, and patterns.
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plan
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Decompose a feature request into a detailed implementation plan with task breakdown, dependencies, and risk assessment.
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cleanup
eroslifestyle
Run session cleanup - delete temp files, NUL files, orphan artifacts
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build-fix
eroslifestyle
Diagnose and fix build errors automatically.
SkillDFreshness: D★ 1Claude Code - 0.426score
checkpoint
eroslifestyle
Save a named checkpoint of current session progress.
SkillDFreshness: D★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 3, 2026 (8 months ago)
- Last release
- Mar 3, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from eroslifestyle
- 0.432score
evolve
eroslifestyle
Aggregate high-confidence instincts into reusable skills.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
debugging
eroslifestyle
When to use this skill for systematic debugging including root cause analysis, error tracing, performance profiling, and memory leak detection
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
learn
eroslifestyle
Capture a learning pattern from the current session with confidence scoring.
SkillDFreshness: D★ 1Claude Code +9 - 0.431score
git-workflow
eroslifestyle
When to use this skill for advanced Git operations and workflow management
SkillDFreshness: D★ 1Claude Code +9 - 0.431score
code-review
eroslifestyle
When to use this skill for automated code quality analysis and review
SkillDFreshness: D★ 1Claude Code +9 - 0.429score
prompt-engineering-patterns
eroslifestyle
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.
SkillDFreshness: D★ 1Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
multi-plan skill. Agent Mart. https://agentmart.dev/skills/eroslifestyle-multi-plan-d9af5c (last updated 2026-10-24)