Frames a data/ML problem before any modeling — the decision, the action, the cost of a wrong call, task type, target, and success metric.
$ npx skills add flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter framing-ml-problems --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/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/framing-ml-problems .claude/skills/framing-ml-problems && 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 "framing-ml-problems" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/framing-ml-problems into .claude/skills/framing-ml-problems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-ml-problems", 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/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/framing-ml-problemsType 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 flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter framing-ml-problems --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/framing-ml-problems .agents/skills/framing-ml-problems && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "framing-ml-problems" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/framing-ml-problems into .agents/skills/framing-ml-problems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-ml-problems", 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 flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter framing-ml-problems --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/framing-ml-problems .cursor/skills/framing-ml-problems && 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 "framing-ml-problems" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/framing-ml-problems into .cursor/skills/framing-ml-problems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-ml-problems", 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/flyrank-bih/flyrank-ml-internship-starter.git --path skills/framing-ml-problems--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 flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter framing-ml-problems --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/framing-ml-problems .gemini/skills/framing-ml-problems && 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 "framing-ml-problems" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/framing-ml-problems into .gemini/skills/framing-ml-problems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-ml-problems", 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 flyrank-bih/flyrank-ml-internship-starter framing-ml-problemsInstalls 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 flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/framing-ml-problems .github/skills/framing-ml-problems && 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 "framing-ml-problems" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/framing-ml-problems into .github/skills/framing-ml-problems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-ml-problems", 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 flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter framing-ml-problems --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/framing-ml-problems .opencode/skills/framing-ml-problems && 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 "framing-ml-problems" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/framing-ml-problems into .opencode/skills/framing-ml-problems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-ml-problems", 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.
framing-ml-problemsFrames a data/ML problem before any modeling — the decision, the action, the cost of a wrong call, task type, target, and success metric.
Framing ML Problems is an agent skill from flyrank-bih/flyrank-ml-internship-starter. Frames a data/ML problem before any modeling — the decision, the action, the cost of a wrong call, task type, target, and success metric. Use when picking a project direction, writing a research question, or mapping a problem onto an ML task type.
Its SKILL.md is about 700 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 Research & Science, covering Hypothesis generation and Product metrics. The repository describes itself as: Starter repo for the FlyRank ML Internship - a runnable ML pipeline on real anonymized Google Search data, with Colab notebooks. Fork it, build your capstone in it.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 882b73e. 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.
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.
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.
Framing ML Problems loads about 700 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 392 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); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 392 words (~700 tokens).
“A model is never the goal. A better DECISION is the goal. Frame first, model later.”
Just SKILL.md in skills/framing-ml-problems of flyrank-bih/flyrank-ml-internship-starter.
Open the folder on GitHubat commit 882b73e
Framing ML Problems 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 |
|---|---|---|---|---|---|---|
| Framing ML Problems this skillflyrank-bih/flyrank-ml-internship-starter | 140 | — | ~700 | Automated safety check: Pass | Custom licence | |
| Paper Opportunity Radartamdogood/builder-essential-skills | 220 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Craft Experiment Designamplitude/builder-skills | 160 | — | ~522 | Automated safety check: Pass | None | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Hypothesis GenerationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Pass | MIT |
tamdogood/builder-essential-skills
Run a cumulative daily or retrospective sweep of research papers on a chosen topic, audit their claims, methods, integrity signals, and independent support, then identify overlooked but feasible…
amplitude/builder-skills
Write a hypothesis, define success metrics, and plan a holdout strategy.
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
K-Dense-AI/claude-scientific-writer
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready…
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
flyrank-bih/flyrank-ml-internship-starter
Works with datasets far too big to download or load in pandas — SQL over remote Parquet with DuckDB, aggregate-then-model, iterate on samples.
flyrank-bih/flyrank-ml-internship-starter
Builds the transparent rule-based baseline every model must beat — a hand-written score with reason codes, ranked output, and precision@K evaluation.
flyrank-bih/flyrank-ml-internship-starter
Deploys a static page (research paper, portfolio piece) for free from a GitHub repo using GitHub Pages — setup, file layout, verification, and recording the final URL.
flyrank-bih/flyrank-ml-internship-starter
Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed.
flyrank-bih/flyrank-ml-internship-starter
Writes findings in language the evidence can carry — the claim ladder (observed → directional → decision-support, never causal without a design), effect sizes over drama, banned phrasings.
flyrank-bih/flyrank-ml-internship-starter
Structures and writes a public research page — canonical sections (abstract through limitations), storytelling that carries findings, chart hygiene, referencing for credibility, repurposing for…
Frames a data/ML problem before any modeling — the decision, the action, the cost of a wrong call, task type, target, and success metric. Framing ML Problems is an agent skill from flyrank-bih/flyrank-ml-internship-starter. Frames a data/ML problem before any modeling — the decision, the action, the cost of a wrong call, task type, target, and success metric.
Framing ML Problems fits situations like: picking a project direction; writing a research question; mapping a problem onto an ML task type.
Run `npx skills add flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a claude-code`. Or copy the skill folder (skills/framing-ml-problems in flyrank-bih/flyrank-ml-internship-starter) into .claude/skills/framing-ml-problems in your project. Claude Code loads it when a task matches its description.
Run `npx skills add flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a codex`. Or copy the skill folder (skills/framing-ml-problems in flyrank-bih/flyrank-ml-internship-starter) into .agents/skills/framing-ml-problems 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 flyrank-bih/flyrank-ml-internship-starter --skill framing-ml-problems -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/framing-ml-problems, .gemini/skills/framing-ml-problems, .github/skills/framing-ml-problems and .opencode/skills/framing-ml-problems in your project.
SKILL.md names no scripts, command-line tools or credentials: Framing ML Problems is instructions for the agent only.
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. Review the folder before installing.
Framing ML Problems has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 700 tokens (SKILL.md is roughly 2.8k 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 Framing ML Problems: Paper Opportunity Radar (tamdogood/builder-essential-skills, 220 stars), Craft Experiment Design (amplitude/builder-skills, 160 stars), Hypothesis Generation (spacering-net/codeg, 3.9k stars) and Nature Paper Card (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
flyrank-bih (a GitHub organization) maintains it in flyrank-bih/flyrank-ml-internship-starter, which has 140 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 20, 2026.
Source: flyrank-bih/flyrank-ml-internship-starter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
