Longbridge Quant
sickn33/agentic-awesome-skills
Curated upstream guidance for Longbridge Quant; use when the workflow matches the user goal.
Reconcile what the numbers say with what users say, and design the study that settles it rather than restates it.
MITAuto-check passed
Install Qual Quant Triangulation
$ npx skills add Owl-Listener/designer-skills --skill qual-quant-triangulation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Owl-Listener/designer-skills qual-quant-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/Owl-Listener/designer-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/design-research/skills/qual-quant-triangulation .claude/skills/qual-quant-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 "qual-quant-triangulation" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/qual-quant-triangulation into .claude/skills/qual-quant-triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qual-quant-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/Owl-Listener/designer-skills/tree/main/design-research/skills/qual-quant-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 Owl-Listener/designer-skills --skill qual-quant-triangulation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Owl-Listener/designer-skills qual-quant-triangulation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/design-research/skills/qual-quant-triangulation .agents/skills/qual-quant-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 "qual-quant-triangulation" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/qual-quant-triangulation into .agents/skills/qual-quant-triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qual-quant-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 Owl-Listener/designer-skills --skill qual-quant-triangulation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Owl-Listener/designer-skills qual-quant-triangulation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/design-research/skills/qual-quant-triangulation .cursor/skills/qual-quant-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 "qual-quant-triangulation" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/qual-quant-triangulation into .cursor/skills/qual-quant-triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qual-quant-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/Owl-Listener/designer-skills.git --path design-research/skills/qual-quant-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 Owl-Listener/designer-skills --skill qual-quant-triangulation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Owl-Listener/designer-skills qual-quant-triangulation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/design-research/skills/qual-quant-triangulation .gemini/skills/qual-quant-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 "qual-quant-triangulation" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/qual-quant-triangulation into .gemini/skills/qual-quant-triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qual-quant-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 Owl-Listener/designer-skills qual-quant-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 Owl-Listener/designer-skills --skill qual-quant-triangulation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/design-research/skills/qual-quant-triangulation .github/skills/qual-quant-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 "qual-quant-triangulation" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/qual-quant-triangulation into .github/skills/qual-quant-triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qual-quant-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 Owl-Listener/designer-skills --skill qual-quant-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 Owl-Listener/designer-skills qual-quant-triangulation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/design-research/skills/qual-quant-triangulation .opencode/skills/qual-quant-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 "qual-quant-triangulation" agent skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/qual-quant-triangulation into .opencode/skills/qual-quant-triangulation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qual-quant-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
qual-quant-triangulation- GitHub stars
- 2.9k
- Token cost
- ~911 tokens
- SKILL.md length
- 531 words
- Files
- 2
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reconcile what the numbers say with what users say, and design the study that settles it rather than restates it.
- Behavioural data and research findings point different ways
- SKILL.md covers What You Do, Disagreement Is Information, Which Source Answers Which… and Designing the Study That…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Qual Quant Triangulation is an agent skill from Owl-Listener/designer-skills. Reconcile what the numbers say with what users say, and design the study that settles it rather than restates it. Use when behavioural data and research findings point different ways. For reading the data on its own, use behavioural-analytics; for synthesising interviews on their own, use affinity-diagram.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `EVALS.md`).
The repository describes itself as: Designer Skills Collection: agentic skills, commands, and plugins for design — from research to systems, UI, interaction, and delivery. The licence is MIT.
When your agent uses it
- Behavioural data and research findings point different ways
Example prompts
- “/qual-quant-triangulation”
What it can do on your machine
Read from SKILL.md and the folder at commit 9a6930c. 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
Qual Quant Triangulation loads about 911 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 531 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 Owl-Listener/designer-skills at commit 9a6930c, republished under its MIT licence (© Owl-Listener). 531 words, ~911 tokens.
Download SKILL.mdSave it as
.claude/skills/qual-quant-triangulation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- qual-quant-triangulation
- description
- Reconcile what the numbers say with what users say, and design the study that settles it rather than restates it. Use when behavioural data and research findings point different ways. For reading the data on its own, use `behavioural-analytics`; for synthesising interviews on their own, use `affinity-diagram`.
Qual-Quant Triangulation
You are an expert in what to do when the dashboard and the interviews disagree.
What You Do
You take two accounts of the same behaviour — one measured, one reported — and work out what their disagreement means, which one answers the question actually being asked, and what the next study has to look like to settle it. The output is a decision about what to believe and one study design, not a summary of both sources.
Disagreement Is Information
Teams treat a conflict as a problem with one source. It is usually a signal in its own right, and the shape of it tells you where to look:
| What you see | What it usually means |
|---|---|
| Data shows abandonment; users report no difficulty | They abandoned for a reason they do not attribute to the interface — price, timing, or a decision made before arriving |
| Users report a serious problem; data shows no effect | The affected segment is small, or the problem happens before instrumentation starts |
| Data improved; users report it feels worse | You optimised a proxy. The metric moved, the experience did not |
| Users are enthusiastic; retention is flat | Stated preference, not revealed. Enthusiasm in a session is not a return visit |
| Both look fine; the business outcome does not | You are measuring the task, not the goal the task serves |
| The last two are the expensive ones, because nothing looks wrong until much later. |
Which Source Answers Which Question
Give each question to the source that can actually answer it, and stop asking the other:
- What happened, how often, and where — behavioural data. Interviews are a poor census; people misremember frequency badly.
- Why, and what they were trying to do — research. No amount of event data recovers intent.
- Whether the thing is worth building at all — neither, on its own. That is a judgment, and dressing it as a finding is how teams launder a decision they already made. When someone asks a why-question of a dashboard, or a how-many-question of six interviews, the disagreement you are looking at is not real. It is a category error.
Show full SKILL.md (183 more words)Show less
Designing the Study That Settles It
A resolving study is narrower than either original. Write down, before running it: the specific claim in dispute, what result would make you drop the qualitative account, and what result would make you drop the quantitative one. If no result could change your mind, you are not resolving the conflict, you are building a case. Prefer the cheap instrument that discriminates. A session recording of the disputed step usually beats another round of interviews and another dashboard. If the dispute is about why, add measurement to the qualitative session rather than running two studies.
Best Practices
- Name which source is load-bearing for the decision before you look at either
- Weight revealed behaviour over stated preference when they conflict on the same question
- Check that both sources describe the same population before calling it a contradiction — different segments are not a disagreement
- Do not average the two accounts into a compromise finding; a middle position neither source supports is worse than picking one
- Do not resolve a conflict by re-running the study that produced the answer you prefer
© Owl-Listener, 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 1 other file in design-research/skills/qual-quant-triangulation of Owl-Listener/designer-skills.
- SKILL.md
- EVALS.md
Open the folder on GitHubat commit 9a6930c
Compare with similar skills
Qual Quant 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 |
|---|---|---|---|---|---|---|
| Qual Quant Triangulation this skillOwl-Listener/designer-skills | 2.9k | — | ~911 | Automated safety check: Pass | MIT | |
| Longbridge Quantsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Saycloudposse/atmos | 1.4k | — | ~722 | Automated safety check: Pass | Apache-2.0 | |
| Bio Copy Number Subclonal Copy NumberGPTomics/bioSkills | 1.2k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Prime Numbersparcadei/Continuous-Claude-v3 | 3.9k | 1 repos | ~405 | Automated safety check: Notes | MIT | |
| Add A Second Dial Phone Numbernanocoai/nanoclaw | 31k | — | ~1.5k | Automated safety check: Pass | MIT |
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Questions about Qual Quant Triangulation
What does Qual Quant Triangulation do?
Reconcile what the numbers say with what users say, and design the study that settles it rather than restates it. Qual Quant Triangulation is an agent skill from Owl-Listener/designer-skills. Reconcile what the numbers say with what users say, and design the study that settles it rather than restates it.
When should I use Qual Quant Triangulation?
Qual Quant Triangulation fits situations like: behavioural data and research findings point different ways.
How do I install Qual Quant Triangulation in Claude Code?
Run `npx skills add Owl-Listener/designer-skills --skill qual-quant-triangulation -a claude-code`. Or copy the skill folder (design-research/skills/qual-quant-triangulation in Owl-Listener/designer-skills) into .claude/skills/qual-quant-triangulation in your project. Claude Code loads it when a task matches its description.
How do I install Qual Quant Triangulation in Codex?
Run `npx skills add Owl-Listener/designer-skills --skill qual-quant-triangulation -a codex`. Or copy the skill folder (design-research/skills/qual-quant-triangulation in Owl-Listener/designer-skills) into .agents/skills/qual-quant-triangulation in your project. Codex loads it when a task matches its description.
Can I use Qual Quant 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 Owl-Listener/designer-skills --skill qual-quant-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/qual-quant-triangulation, .gemini/skills/qual-quant-triangulation, .github/skills/qual-quant-triangulation and .opencode/skills/qual-quant-triangulation in your project.
What does Qual Quant Triangulation need to run?
SKILL.md names no scripts, command-line tools or credentials: Qual Quant Triangulation is instructions for the agent only.
Does Qual Quant 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 Qual Quant 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 Qual Quant Triangulation use?
Qual Quant 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 Qual Quant Triangulation use?
About 911 tokens (SKILL.md is roughly 3.6k 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 Qual Quant Triangulation?
Skills that share tags, products or a category with Qual Quant Triangulation: Longbridge Quant (sickn33/agentic-awesome-skills, 47k stars), Say (cloudposse/atmos, 1.4k stars), Bio Copy Number Subclonal Copy Number (GPTomics/bioSkills, 1.2k stars) and Prime Numbers (parcadei/Continuous-Claude-v3, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Qual Quant Triangulation?
Owl-Listener (a GitHub user) maintains it in Owl-Listener/designer-skills, which has 2,862 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 5, 2026.
Source: Owl-Listener/designer-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.