Principle Exhaust The Design Space
cursor/plugins
Apply when facing a novel UI interaction or architectural decision with no precedent in the codebase.
Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method.
$ npx skills add oaustegard/claude-skills --skill tiling-tree -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oaustegard/claude-skills tiling-tree --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/oaustegard/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tiling-tree .claude/skills/tiling-tree && 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 "tiling-tree" agent skill from https://github.com/oaustegard/claude-skills/tree/main/tiling-tree into .claude/skills/tiling-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiling-tree", 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/oaustegard/claude-skills/tree/main/tiling-treeType 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 oaustegard/claude-skills --skill tiling-tree -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oaustegard/claude-skills tiling-tree --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oaustegard/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tiling-tree .agents/skills/tiling-tree && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tiling-tree" agent skill from https://github.com/oaustegard/claude-skills/tree/main/tiling-tree into .agents/skills/tiling-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiling-tree", 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 oaustegard/claude-skills --skill tiling-tree -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oaustegard/claude-skills tiling-tree --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oaustegard/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tiling-tree .cursor/skills/tiling-tree && 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 "tiling-tree" agent skill from https://github.com/oaustegard/claude-skills/tree/main/tiling-tree into .cursor/skills/tiling-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiling-tree", 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/oaustegard/claude-skills.git --path tiling-tree--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 oaustegard/claude-skills --skill tiling-tree -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oaustegard/claude-skills tiling-tree --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oaustegard/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tiling-tree .gemini/skills/tiling-tree && 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 "tiling-tree" agent skill from https://github.com/oaustegard/claude-skills/tree/main/tiling-tree into .gemini/skills/tiling-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiling-tree", 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 oaustegard/claude-skills tiling-treeInstalls 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 oaustegard/claude-skills --skill tiling-tree -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/oaustegard/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/tiling-tree .github/skills/tiling-tree && 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 "tiling-tree" agent skill from https://github.com/oaustegard/claude-skills/tree/main/tiling-tree into .github/skills/tiling-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiling-tree", 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 oaustegard/claude-skills --skill tiling-tree -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install oaustegard/claude-skills tiling-tree --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oaustegard/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tiling-tree .opencode/skills/tiling-tree && 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 "tiling-tree" agent skill from https://github.com/oaustegard/claude-skills/tree/main/tiling-tree into .opencode/skills/tiling-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiling-tree", 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.
tiling-treeExhaustive 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. 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.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 559a6cd. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
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.
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 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.
The full file from oaustegard/claude-skills at commit 559a6cd, republished under its MIT licence (© oaustegard). 375 words, ~958 tokens.
.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.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.
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.
Requires orchestrating-agents skill to be installed. Load it first:
import sys
sys.path.insert(0, '/mnt/skills/user/orchestrating-agents/scripts')
from claude_client import invoke_claude, invoke_parallel, parse_json_response# 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| Parameter | Default | Notes |
|---|---|---|
problem | required | Natural language problem statement |
--depth | 2 | Max recursion depth. Depth 2 ≈ 16 leaves, depth 3 ≈ 64 leaves |
--criteria | impact,novelty,feasibility | Comma-separated evaluation dimensions |
--output | tiling_tree.md | Output 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.
invoke_parallel): each receives one node to split, returns MECE branches with explicit exclusion statementsinvoke_claude): single agent scores all leaves for cross-leaf consistencyParallel 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.
A markdown file containing:
Good trees have:
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
SKILL.md and 2 other files (scripts) in tiling-tree of oaustegard/claude-skills.
Open the folder on GitHubat commit 559a6cd
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tiling Tree this skilloaustegard/claude-skills | 150 | 1 repos | ~958 | Automated safety check: Pass | MIT | |
| Principle Exhaust The Design Spacecursor/plugins | 10k | 8 repos | ~288 | Automated safety check: Pass | None | |
| Smart Explore Code Searchthedotmack/claude-mem | 97k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Is This A Problemanthropics/claude-for-legal | 9.6k | 2 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Agent Scout Explorerruvnet/ruflo | 74k | 3 repos | ~1.6k | Automated safety check: Pass | MIT | |
| More Trees AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~742 | Automated safety check: Pass | None |
cursor/plugins
Apply when facing a novel UI interaction or architectural decision with no precedent in the codebase.
thedotmack/claude-mem
Explores code structure with tree-sitter AST search tools, getting a ranked symbol map and file outlines before reading full source, to save tokens.
anthropics/claude-for-legal
Fast "is this a problem?" answer for the quick Slack question — pattern-matches against your calibration.
ruvnet/ruflo
Agent skill for scout-explorer - invoke with $agent-scout-explorer
ComposioHQ/awesome-claude-skills
Automate More Trees tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
asgeirtj/system_prompts_leaks
Reconcile new evidence into existing ChatGPT Pages or a Space when the user requests upkeep.
oaustegard/claude-skills
Deprecated sampler that captures short windows of the Bluesky firehose, clusters trending terms and builds an HTML report; replaced by the browsing-bluesky skill.
oaustegard/claude-skills
Builds interactive Vega-Lite charts from uploaded data: analyzes the fields, picks five to ten fitting chart types, and produces a React artifact with the data embedded inline.
oaustegard/claude-skills
Builds self-contained single-file HTML pages such as reports, decks, postmortems, flowcharts and prototypes from a small spec using a bundled Python composer and templates.
oaustegard/claude-skills
Rewrites model-sounding prose into plain technical writing and checks that every claim survives, for PR text, docs, commit messages and similar drafts.
oaustegard/claude-skills
Zero-shot univariate time series forecasting using the Reverso foundation model (NumPy/Numba CPU-only inference).
oaustegard/claude-skills
Guides building standards-based Preact apps with native-first choices, HTM syntax, import maps and vendored ESM, from single-file demos to larger builds.
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.
Tiling Tree fits situations like: users say tiling tree; tile the solution space; exhaustively explore approaches to; what are all the ways to.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.