Story Multi-Perspective Review
zenstory-ai/oh-story-claudecode
Reviews Chinese web-novel text with several reviewer agents in parallel, falling back to a single-agent pass, and reports structure, character, prose and setting problems with fixes.
Analyze one decision through independent methods or sources, compare the paths, and reconcile disagreement.
Install Triangulation
$ npx skills add ai-analyst-lab/ai-analyst --skill triangulation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ai-analyst-lab/ai-analyst triangulation --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/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/triangulation .claude/skills/triangulation && 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 "triangulation" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/triangulation into .claude/skills/triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulation", 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/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/triangulationType 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 ai-analyst-lab/ai-analyst --skill triangulation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ai-analyst-lab/ai-analyst triangulation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/triangulation .agents/skills/triangulation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "triangulation" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/triangulation into .agents/skills/triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulation", 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 ai-analyst-lab/ai-analyst --skill triangulation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ai-analyst-lab/ai-analyst triangulation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/triangulation .cursor/skills/triangulation && 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 "triangulation" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/triangulation into .cursor/skills/triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulation", 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/ai-analyst-lab/ai-analyst.git --path .claude/skills/triangulation--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 ai-analyst-lab/ai-analyst --skill triangulation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ai-analyst-lab/ai-analyst triangulation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/triangulation .gemini/skills/triangulation && 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 "triangulation" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/triangulation into .gemini/skills/triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulation", 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 ai-analyst-lab/ai-analyst triangulationInstalls 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 ai-analyst-lab/ai-analyst --skill triangulation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/triangulation .github/skills/triangulation && 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 "triangulation" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/triangulation into .github/skills/triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulation", 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 ai-analyst-lab/ai-analyst --skill triangulation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ai-analyst-lab/ai-analyst triangulation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/triangulation .opencode/skills/triangulation && 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 "triangulation" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/triangulation into .opencode/skills/triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulation", 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.
Facts
- Skill name
triangulation- GitHub stars
- 304
- Token cost
- ~642 tokens
- SKILL.md length
- 338 words
- Files
- 1
- Skills in repo
- 43
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze one decision through independent methods or sources, compare the paths, and reconcile disagreement.
- A novel analysis needs corroboration and no single answer key is available
- SKILL.md covers Select paths deliberately and Compare the paths
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Creative writing and fiction
What it does
Triangulation is an agent skill from ai-analyst-lab/ai-analyst. Analyze one decision through independent methods or sources, compare the paths, and reconcile disagreement. Use when a novel analysis needs corroboration and no single answer key is available.
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Creative writing and fiction. The repository describes itself as: AI Product Analyst — Claude Code-powered data analysis toolkit. The licence is MIT.
When your agent uses it
- A novel analysis needs corroboration and no single answer key is available
- Tasks that involve Creative writing and fiction
Example prompts
- “/triangulation”
What it can do on your machine
Read from SKILL.md and the folder at commit 52c0744. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Triangulation loads about 642 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 338 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.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from ai-analyst-lab/ai-analyst at commit 52c0744, republished under its MIT licence (© ai-analyst-lab). 338 words, ~642 tokens.
Download SKILL.mdSave it as
.claude/skills/triangulation/SKILL.md (or your agent's skills folder).- name
- triangulation
- description
- Analyze one decision through independent methods or sources, compare the paths, and reconcile disagreement. Use when a novel analysis needs corroboration and no single answer key is available.
Triangulate an analysis
Select paths deliberately
First determine what the available data can support. Choose paths that differ in method, source, population, assumptions, or counterfactual. Opening more sessions that repeat the same method is not meaningful triangulation.
Each path must work without seeing the other paths' conclusions. Record:
- path ID;
- method;
- source;
- population;
- assumptions;
- direction as
yes,no, orunclear; and - the evidence supporting that direction.
For a live analysis, use three paths unless the user requests another number. Inspect the available data first, then propose three methods that answer different parts of the decision and rely on meaningfully different assumptions. Aim for a 400-word proposal and never exceed 500 words. Keep each path narrow enough to complete with no more than two read-only queries and a narrative of no more than 250 words unless the user asks for a deeper analysis. Compact SQL and result tables do not count toward the narrative limit.
After the user approves the methods, run the three paths in fresh subagents in parallel. Give each subagent the complete original task and terminology constraints, its assigned method, the approved data source, the two-query and 250-word narrative limits, and the required output fields. Do not paraphrase or omit user constraints when delegating. Do not show one path another path's work.
Save each path separately under working/triangulation/<slug>/, then save a comparison that shows the method, question answered, assumptions, important evidence, direction, and limitations for every path.
Compare the paths
Use helpers.evals.triangulation.build_grid to assemble the comparison. Run each genuinely different path once. A second full round is not required. If one path is surprising or disputed, rerun only that path in a fresh context to determine whether the difference is run variation or a persistent methodological disagreement.
When paths disagree, locate the difference in their populations, assumptions, sources, or counterfactuals. Reconcile the difference only when the evidence supports it. Otherwise preserve the disagreement and escalate it.
When paths agree, state what their independence adds and what it still cannot establish. Convergence is not proof of correctness.
© ai-analyst-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/triangulation of ai-analyst-lab/ai-analyst.
Open the folder on GitHubat commit 52c0744
Compare with similar skills
Triangulation 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 |
|---|---|---|---|---|---|---|
| Triangulation this skillai-analyst-lab/ai-analyst | 304 | — | ~642 | Automated safety check: Pass | MIT | |
| Story Multi-Perspective Reviewzenstory-ai/oh-story-claudecode | 7.4k | 3 repos | ~3k | Automated safety check: Pass | MIT | |
| Story Toolbox Routerzenstory-ai/oh-story-claudecode | 7.4k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Short Web Fiction Trend Scanzenstory-ai/oh-story-claudecode | 7.4k | 3 repos | ~1.2k | Automated safety check: Pass | MIT | |
| InkOS Creative HarnessNarcooo/inkos | 10k | 1 repos | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Novel Arteternityspring/shuohao-skills | 4.2k | — | ~1.1k | Automated safety check: Notes | Apache-2.0 |
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Story Toolbox Router
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Short Web Fiction Trend Scan
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InkOS Creative Harness
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Related
Categories
Questions about Triangulation
What does Triangulation do?
Analyze one decision through independent methods or sources, compare the paths, and reconcile disagreement. Triangulation is an agent skill from ai-analyst-lab/ai-analyst. Analyze one decision through independent methods or sources, compare the paths, and reconcile disagreement.
When should I use Triangulation?
Triangulation fits situations like: A novel analysis needs corroboration and no single answer key is available; tasks that involve Creative writing and fiction.
How do I install Triangulation in Claude Code?
Run `npx skills add ai-analyst-lab/ai-analyst --skill triangulation -a claude-code`. Or copy the skill folder (.claude/skills/triangulation in ai-analyst-lab/ai-analyst) into .claude/skills/triangulation in your project. Claude Code loads it when a task matches its description.
How do I install Triangulation in Codex?
Run `npx skills add ai-analyst-lab/ai-analyst --skill triangulation -a codex`. Or copy the skill folder (.claude/skills/triangulation in ai-analyst-lab/ai-analyst) into .agents/skills/triangulation in your project. Codex loads it when a task matches its description.
Can I use Triangulation 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 ai-analyst-lab/ai-analyst --skill triangulation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/triangulation, .gemini/skills/triangulation, .github/skills/triangulation and .opencode/skills/triangulation in your project.
What does Triangulation need to run?
SKILL.md names no scripts, command-line tools or credentials: Triangulation is instructions for the agent only.
Does Triangulation 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 Triangulation 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. Review the folder before installing.
What licence does Triangulation use?
Triangulation 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 Triangulation use?
About 642 tokens (SKILL.md is roughly 2.6k 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 Triangulation?
Skills that share tags, products or a category with Triangulation: Story Multi-Perspective Review (zenstory-ai/oh-story-claudecode, 7.4k stars), Story Toolbox Router (zenstory-ai/oh-story-claudecode, 7.4k stars), Short Web Fiction Trend Scan (zenstory-ai/oh-story-claudecode, 7.4k stars) and InkOS Creative Harness (Narcooo/inkos, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Triangulation?
ai-analyst-lab (a GitHub organization) maintains it in ai-analyst-lab/ai-analyst, which has 304 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on September 30, 2026.
Source: ai-analyst-lab/ai-analyst on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.