Agent skill

Tiling Tree

by oaustegard in oaustegard/claude-skills

Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method.

MITAuto-check passed

Install Tiling Tree

skills CLI
$ npx skills add oaustegard/claude-skills --skill tiling-tree -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install oaustegard/claude-skills tiling-tree --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/oaustegard/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tiling-tree .claude/skills/tiling-tree && rm -rf skills-src

Use ~/.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/

Facts

Skill name
tiling-tree
GitHub stars
150
Used in
1 other repo
Token cost
~958 tokens
SKILL.md length
375 words
Files
3 (incl. scripts)
Skills in repo
93
Repo updated
First seen
Licence
MIT

At a glance

Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method.

  • Works in 2 steps: Full tree diagram with split criteria… → Ranked leaf table sorted by overall score
  • Users say tiling tree
  • SKILL.md covers Core Concept, When to Use, Setup and Running the Tiling Tree, plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Tiling Tree is an agent skill from oaustegard/claude-skills. Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method. Partitions a problem into MECE (Mutually Exclusive, Collectively Exhaustive) subsets recursively via parallel subagents, then evaluates leaf ideas against specified criteria. Use when users say "tiling tree", "tile the solution space", "exhaustively explore approaches to", "what are all the ways to", or request a MECE breakdown of a problem. Requires orchestrating-agents skill.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `CHANGELOG.md` and `scripts/tiling_tree.py`).

The repository describes itself as: My collection of Claude skills. The licence is MIT.

When your agent uses it

  • Users say tiling tree
  • Tile the solution space
  • Exhaustively explore approaches to
  • What are all the ways to

Example prompts

  • “tiling tree”
  • “tile the solution space”
  • “exhaustively explore approaches to”
  • “/tiling-tree”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Full tree diagram with split criteria and evaluation scores at leaves
  2. Ranked leaf table sorted by overall score

What it can do on your machine

Read from SKILL.md and the folder at commit 559a6cd. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Tiling Tree loads about 958 tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 375 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~958

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); the scripts in this folder are not scanned.

SKILL.md

The full file from oaustegard/claude-skills at commit 559a6cd, republished under its MIT licence (© oaustegard). 375 words, ~958 tokens.

Download SKILL.mdSave it as .claude/skills/tiling-tree/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
tiling-tree
description
Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method. Partitions a problem into MECE (Mutually Exclusive, Collectively Exhaustive) subsets recursively via parallel subagents, then evaluates leaf ideas against specified criteria. Use when users say "tiling tree", "tile the solution space", "exhaustively explore approaches to", "what are all the ways to", or request a MECE breakdown of a problem. Requires orchestrating-agents skill.
metadata.version
1.0.1
metadata.depends_on
orchestrating-agents

Tiling Tree

Implements the MIT Synthetic Neurobiology tiling tree method: recursively partition a problem space into non-overlapping, collectively exhaustive subsets until reaching actionable leaf ideas, then evaluate those leaves.

Core Concept

The method's power comes from MECE splits forcing exploration of unfamiliar territory. A split is only valid when you can state precisely what each branch excludes — if you can't, the criterion is too vague and branches will overlap.

Key insight from the source method: always look for the "third option" that falls outside an obvious binary split. The bloodstream-secretion approach to neural recording only emerged because "wired vs. wireless" was defined precisely enough to reveal it covered neither case.

When to Use

  • "What are all the ways we could solve X?"
  • "Apply the tiling tree method to Y"
  • "Exhaustively map the solution space for Z"
  • Any request for MECE decomposition of a problem domain

Setup

Requires orchestrating-agents skill to be installed. Load it first:

python
import sys
sys.path.insert(0, '/mnt/skills/user/orchestrating-agents/scripts')

from claude_client import invoke_claude, invoke_parallel, parse_json_response

Running the Tiling Tree

bash
# Basic usage
python3 /mnt/skills/user/tiling-tree/scripts/tiling_tree.py "Your problem here"

# With options
python3 /mnt/skills/user/tiling-tree/scripts/tiling_tree.py \
  "How can we record neural activity?" \
  --depth 3 \
  --criteria "impact,novelty,feasibility" \
  --output /mnt/user-data/outputs/neural_recording_tree.md

Parameters

ParameterDefaultNotes
problemrequiredNatural language problem statement
--depth2Max recursion depth. Depth 2 ≈ 16 leaves, depth 3 ≈ 64 leaves
--criteriaimpact,novelty,feasibilityComma-separated evaluation dimensions
--outputtiling_tree.mdOutput markdown path

Depth guidance: Start with depth 2 to validate the problem framing. Increase to 3 only when the domain genuinely warrants it — depth 3 generates ~64 leaves and ~40 API calls.

Show full SKILL.md (153 more words)Show less

Architecture

  • Orchestrator (this script): builds tree skeleton, dispatches parallel split jobs per level, merges results, detects gaps
  • Branch agents (invoke_parallel): each receives one node to split, returns MECE branches with explicit exclusion statements
  • Evaluator (invoke_claude): single agent scores all leaves for cross-leaf consistency

Parallel splitting happens level-by-level (not node-by-node), so a depth-2 tree makes only 2 API round-trips for the splitting phase regardless of branching factor.

Output

A markdown file containing:

  1. Full tree diagram with split criteria and evaluation scores at leaves
  2. Ranked leaf table sorted by overall score

Interpreting Results

Good trees have:

  • Split criteria that are definitions, not questions ("energy source type" not "is it renewable?")
  • Leaf exclusions that confirm non-overlap
  • A "surprising" branch — something you wouldn't have thought of without the tree

If all leaves feel obvious, the split criteria were too coarse. Redo the tree with more precise definitions at the branch level where it went flat.

© oaustegard, 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 2 other files (scripts) in tiling-tree of oaustegard/claude-skills.

  • SKILL.md
  • CHANGELOG.md
  • scripts/tiling_tree.py

Open the folder on GitHubat commit 559a6cd

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in oaustegard/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tiling Tree 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.

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Tiling Tree this skilloaustegard/claude-skills1501 repos~958Automated safety check: PassMIT
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Smart Explore Code Searchthedotmack/claude-mem97k—~2.3kAutomated safety check: PassApache-2.0
Is This A Problemanthropics/claude-for-legal9.6k2 repos~2.3kAutomated safety check: PassApache-2.0
Agent Scout Explorerruvnet/ruflo74k3 repos~1.6kAutomated safety check: PassMIT
More Trees AutomationComposioHQ/awesome-claude-skills77k3 repos~742Automated safety check: PassNone

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Questions about Tiling Tree

What does Tiling Tree do?

Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method. Tiling Tree is an agent skill from oaustegard/claude-skills. Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method.

When should I use Tiling Tree?

Tiling Tree fits situations like: users say tiling tree; tile the solution space; exhaustively explore approaches to; what are all the ways to.

How do I install Tiling Tree in Claude Code?

Run `npx skills add oaustegard/claude-skills --skill tiling-tree -a claude-code`. Or copy the skill folder (tiling-tree in oaustegard/claude-skills) into .claude/skills/tiling-tree in your project. Claude Code loads it when a task matches its description.

How do I install Tiling Tree in Codex?

Run `npx skills add oaustegard/claude-skills --skill tiling-tree -a codex`. Or copy the skill folder (tiling-tree in oaustegard/claude-skills) into .agents/skills/tiling-tree in your project. Codex loads it when a task matches its description.

Can I use Tiling Tree 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 oaustegard/claude-skills --skill tiling-tree -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tiling-tree, .gemini/skills/tiling-tree, .github/skills/tiling-tree and .opencode/skills/tiling-tree in your project.

What does Tiling Tree need to run?

Going by SKILL.md and its folder, Tiling Tree needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Tiling Tree 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 Tiling Tree 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tiling Tree use?

Tiling Tree 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 Tiling Tree use?

About 958 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tiling Tree?

Skills that share tags, products or a category with Tiling Tree: Principle Exhaust The Design Space (cursor/plugins, 10k stars), Smart Explore Code Search (thedotmack/claude-mem, 97k stars), Is This A Problem (anthropics/claude-for-legal, 9.6k stars) and Agent Scout Explorer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tiling Tree?

oaustegard (a GitHub user) maintains it in oaustegard/claude-skills, which has 150 GitHub stars. The repository holds 93 skills in this directory. The repository was last updated on October 2, 2026.

Source: oaustegard/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.