mawf-planner
Choose an agent architecture from project signals, host capabilities, risk, parallelism, and cost constraints.
Skill by imBlanker
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/imblanker-mawf-planner
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/mawf-planner
What's inside
- Skill name
mawf-planner- Description
- Choose an agent architecture from project signals, host capabilities, risk, parallelism, and cost constraints.
- License
- MIT
- Instructions
- 27 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# MAW Planner (skill) > Use when deciding *which* agent architecture fits a task. The planner scores six architectures against project signals (file count, languages, parallelizable subtasks, risk, context need, value/cost tolerance, HITL/persistence needs) plus host capabilities (native dynamic workflow / multi-agent / codex). ## Architecture menu | Signal | Likely pick | |---|---| | tiny, fixed, low-risk | none (single call) | | open-ended, steps unpredictable, fits one context | `loop` | | many dynamic parallelizable subtasks / context exceeds one window | `orchestrator-workers` | | high-value breadth-first, parallel, tolerate cost | `multi-agent` | | need predictability, HITL, persistence, branching | `graph` | | host has native dynamic workflow / multi-agent | `dynamic` (layered on) | | complex coding + codex review available | `ultracode` (graph + loop + codex fix-gate) | These are combined, not exclusive: e.g. `ultracode` = `graph` + `loop` + codex review. ## How to drive it ```bash mawf plan --project . --task-type coding --risk high --parallel 6 ``` Read `.mawf/plan.md` for the chosen architecture, rationale, agent roster, and review gates. Edit `.mawf/config.yaml` to change cost limits, concurrency, and pricing sources, then re-run `mawf plan`.
From imBlanker/multi-agents-workflow, MIT.
More from imBlanker/multi-agents-workflow
- 0.549score
mawf-archify
imBlanker
Render, validate, and deliver architecture diagrams through the MAWF-locked Archify engine.
SkillBFreshness: B★ 1Claude Code +9 - 0.549score
mawf-compound
imBlanker
Capture a solved-and-verified problem as a durable solution doc in the MAWF knowledge store.
SkillBFreshness: B★ 1Claude Code +9 - 0.549score
mawf-decision
imBlanker
Author and maintain long-lived decision notes in the MAWF knowledge store (write-notes semantics).
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
mawf-knowledge
imBlanker
Retrieve prior decisions and solutions from the MAWF knowledge store and inject bounded context.
SkillBFreshness: B★ 1Claude Code +9 - 0.543score
trellis-brainstorm
imBlanker
Guides collaborative requirements discovery before implementation.
SkillBFreshness: B★ 1Claude Code +9 - 0.541score
mawf-graph
imBlanker
Plan and inspect graph workflows with review gates, branching, checkpoints, and persistent execution state.
SkillBFreshness: B★ 1Claude Code +9 - 0.541score
mawf-cost-guard
imBlanker
Check real-spend cost limits and concurrency before spawning agents or continuing a mawf workflow.
SkillBFreshness: B★ 1Claude Code +9 - 0.541score
mawf-loop
imBlanker
Run open-ended coding or research work with an iterative act, observe, reflect, and decide loop.
SkillBFreshness: B★ 1Claude Code +9 - 0.541score
mawf-orchestration
imBlanker
Plan and coordinate cost-bounded multi-agent workflows for complex projects using mawf.
SkillBFreshness: B★ 1Claude Code +9 - 0.522score
domain-modeling
imBlanker
Build and sharpen a project's domain model.
SkillBFreshness: B★ 1Claude Code +9 - 0.522score
grilling
imBlanker
Grill the user relentlessly about a plan, decision, or idea.
SkillBFreshness: B★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 2
- Last commit (this folder)
- Sep 11, 2026 (1 month ago)
- Last release
- Sep 17, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from imBlanker
- 0.549score
mawf-decision
imBlanker
Author and maintain long-lived decision notes in the MAWF knowledge store (write-notes semantics).
SkillBFreshness: B★ 1Claude Code +9 - 0.549score
mawf-compound
imBlanker
Capture a solved-and-verified problem as a durable solution doc in the MAWF knowledge store.
SkillBFreshness: B★ 1Claude Code +9 - 0.549score
mawf-archify
imBlanker
Render, validate, and deliver architecture diagrams through the MAWF-locked Archify engine.
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
mawf-knowledge
imBlanker
Retrieve prior decisions and solutions from the MAWF knowledge store and inject bounded context.
SkillBFreshness: B★ 1Claude Code +9 - 0.543score
trellis-brainstorm
imBlanker
Guides collaborative requirements discovery before implementation.
SkillBFreshness: B★ 1Claude Code +9 - 0.541score
mawf-graph
imBlanker
Plan and inspect graph workflows with review gates, branching, checkpoints, and persistent execution state.
SkillBFreshness: B★ 1Claude Code +9
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Cite this page
mawf-planner skill. Agent Mart. https://agentmart.dev/skills/imblanker-mawf-planner (last updated 2026-10-24)