Fabric Lakehouse
github/awesome-copilot
A skill your agent uses to get context about Fabric Lakehouse and its features for software systems and AI-powered functions.
Produce honest product reviews and buying guides without fabricated first-hand experience, using disclosed evidence tiers: verified specs, owner-experience synthesis at scale, expert triangulation…
$ npx skills add rampstackco/claude-skills --skill evidence-based-reviews -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rampstackco/claude-skills evidence-based-reviews --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/rampstackco/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evidence-based-reviews .claude/skills/evidence-based-reviews && 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 "evidence-based-reviews" agent skill from https://github.com/rampstackco/claude-skills/tree/main/skills/evidence-based-reviews into .claude/skills/evidence-based-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-based-reviews", 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/rampstackco/claude-skills/tree/main/skills/evidence-based-reviewsType 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 rampstackco/claude-skills --skill evidence-based-reviews -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rampstackco/claude-skills evidence-based-reviews --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rampstackco/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/evidence-based-reviews .agents/skills/evidence-based-reviews && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evidence-based-reviews" agent skill from https://github.com/rampstackco/claude-skills/tree/main/skills/evidence-based-reviews into .agents/skills/evidence-based-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-based-reviews", 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 rampstackco/claude-skills --skill evidence-based-reviews -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rampstackco/claude-skills evidence-based-reviews --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rampstackco/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/evidence-based-reviews .cursor/skills/evidence-based-reviews && 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 "evidence-based-reviews" agent skill from https://github.com/rampstackco/claude-skills/tree/main/skills/evidence-based-reviews into .cursor/skills/evidence-based-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-based-reviews", 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/rampstackco/claude-skills.git --path skills/evidence-based-reviews--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 rampstackco/claude-skills --skill evidence-based-reviews -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rampstackco/claude-skills evidence-based-reviews --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rampstackco/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/evidence-based-reviews .gemini/skills/evidence-based-reviews && 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 "evidence-based-reviews" agent skill from https://github.com/rampstackco/claude-skills/tree/main/skills/evidence-based-reviews into .gemini/skills/evidence-based-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-based-reviews", 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 rampstackco/claude-skills evidence-based-reviewsInstalls 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 rampstackco/claude-skills --skill evidence-based-reviews -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rampstackco/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/evidence-based-reviews .github/skills/evidence-based-reviews && 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 "evidence-based-reviews" agent skill from https://github.com/rampstackco/claude-skills/tree/main/skills/evidence-based-reviews into .github/skills/evidence-based-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-based-reviews", 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 rampstackco/claude-skills --skill evidence-based-reviews -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rampstackco/claude-skills evidence-based-reviews --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rampstackco/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/evidence-based-reviews .opencode/skills/evidence-based-reviews && 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 "evidence-based-reviews" agent skill from https://github.com/rampstackco/claude-skills/tree/main/skills/evidence-based-reviews into .opencode/skills/evidence-based-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-based-reviews", 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.
evidence-based-reviewsProduce honest product reviews and buying guides without fabricated first-hand experience, using disclosed evidence tiers: verified specs, owner-experience synthesis at scale, expert triangulation…
Evidence Based Reviews is an agent skill from rampstackco/claude-skills. Produce honest product reviews and buying guides without fabricated first-hand experience, using disclosed evidence tiers: verified specs, owner-experience synthesis at scale, expert triangulation, and hands-on only when true. Use this skill whenever the user wants to write product reviews or buying guides without hands-on access, set up a review methodology, add evidence disclosure to review content, align reviews with Google's reviews system or FTC affiliate disclosure expectations, or decide when Review and…
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `README.md`, `references/evidence-tiers.md` and `references/methodology-block-template.md`).
The repository describes itself as: Stack-agnostic Claude Skills covering the full website lifecycle: brand, design, content, SEO, dev, ops, growth, and research. Build, ship, audit, optimize. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 482c9bf. 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.
Evidence Based Reviews loads about 3.1k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 233 tokens; SKILL.md has 1,653 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.
The full file from rampstackco/claude-skills at commit 482c9bf, republished under its MIT licence (© rampstackco). 1,653 words, ~3,103 tokens.
.claude/skills/evidence-based-reviews/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Produce product reviews and buying guides whose claims match their evidence. The method is evidence synthesis with a disclosed basis, and one rule anchors everything: never claim hands-on time that did not happen.
Most review sites fail this rule quietly. "We tested" appears above content assembled from spec sheets, and readers have learned to smell it. The honest alternative is stronger, not weaker: synthesis of owner experience at scale, verified specifications, and triangulated expert sources is demonstrable original analysis, and disclosing it builds the trust that fabricated testing destroys.
content-and-copy; this skill governs the evidence and claims layer of review content specifically)brand-voice)seo-onpage)content-brief-authoring)If genuine hands-on testing at scale exists, with instrumentation and protocols, this skill still applies: the tiers do not change, the methodology block simply states tier 4 and the testing protocol becomes the disclosed basis.
The anchor rule: never claim hands-on time that did not happen. Every other part of the method exists to make honest content strong enough that the lie is unnecessary.
Specifications cited to the maker's own page, not to aggregator copies that drift. The verification step is the work: cross-check the spec against the manufacturer's current listing, note the date, and flag discrepancies between sources instead of picking one silently. A spec table built this way is a fact layer; a spec table pasted from another review site is a rumor layer.
When it suffices: factual comparisons, fit and compatibility answers, price-tier groupings. It never supports a quality verdict on its own.
Retailer review corpora, forum threads, warranty and return patterns, read across sources and summarized honestly. Honest synthesis means:
When it suffices: durability and reliability verdicts, real-world quirks specs never show, satisfaction patterns by use case. This tier is the workhorse of honest no-hands-on reviewing, and it is genuine original analysis when done at scale.
Named expert sources compared against each other. Triangulation means surfacing agreement and disagreement, not averaging verdicts into mush. When two credible testers reach opposite conclusions, the honest move is to say so and explain the conditions that might account for it. Anonymous "experts agree" is not a tier; it is decoration.
When it suffices: performance claims that require instrumentation the site lacks, technique-dependent judgments, category context.
Stated only when it happened, flagged as such, with the extent quantified: what was done, how much, under what conditions. When hands-on experience arrives later for a piece published on tiers 1 to 3, the piece is upgraded and the update is marked with what changed. Never backfilled to look like it was always hands-on; the upgrade trail is itself a trust signal.
Every review and buying guide carries a short disclosure block naming its evidence basis, placed with the criteria, written for readers rather than lawyers. The fillable template and a worked example live in references/methodology-block-template.md.
The block names: the criteria in the order they were weighted, the tiers actually used (specifically, with sources), what was done hands-on or the words "none claimed," and the update line. A block that claims a tier the piece did not use is the same lie the anchor rule bans, in smaller type.
The guidance asks for demonstrated first-hand experience OR demonstrable original research and analysis. The second branch is this skill's lane, and "original analysis" means concrete work product:
A site that does tier 2 and 3 work honestly is doing original analysis by the guidance's own definition. The methodology block is how the work shows.
Affiliate relationships are disclosed in plain language, placed where the recommendation is, not in a footer. The disclosure travels with the monetized content: near the picks, in body-size text, before or beside the first affiliate link a reader can act on. "Plain language" means a reader who has never heard the word affiliate understands that the site earns a commission and that the price they pay does not change. Euphemisms ("partner links," "support the site") fail the plain-language test.
Markup is a claim. Apply the same honesty to structured data as to prose:
For a methodology setup: a short methodology standard the site adopts (the tiers, the block template filled with the site's sources, the schema policy), suitable for docs or an editorial guide.
For a piece-level engagement: the methodology block for that piece, the criteria list, the evidence file (sources gathered per tier with sample sizes), and the claims audit if the piece existed before this skill did.
This skill's output depends on data, measurements, or tool results it cannot generate on its own. When a required input, tool, or data source is unavailable or unverifiable, the sanctioned output is the deliverable with the gap stated: what was needed, what was actually obtained or verified, and which parts of the output are affected. Fabricating, estimating, or interpolating a required number to complete the deliverable is never sanctioned. A stated gap is a complete answer.
references/evidence-tiers.md - The four tiers in depth: verification steps, synthesis honesty, triangulation practice, and the upgrade-and-mark pattern.references/methodology-block-template.md - The fillable per-piece disclosure block, a worked example, and placement rules.© rampstackco, 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 3 other files (references) in skills/evidence-based-reviews of rampstackco/claude-skills.
Open the folder on GitHubat commit 482c9bf
Evidence Based Reviews 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 |
|---|---|---|---|---|---|---|
| Evidence Based Reviews this skillrampstackco/claude-skills | 940 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Fabric Lakehousegithub/awesome-copilot | 40k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Fabricynulihao/AgentSkillOS | 617 | 2 repos | ~3.4k | Automated safety check: Pass | None | |
| Fabriclamm-mit/scienceclaw | 244 | — | ~433 | Automated safety check: Pass | Apache-2.0 | |
| Rent Vs Buymohitagw15856/pm-claude-skills | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Fabric CLIdata-goblin/power-bi-agentic-development | 1k | — | ~10k | Automated safety check: Pass | GPL-3.0 |
github/awesome-copilot
A skill your agent uses to get context about Fabric Lakehouse and its features for software systems and AI-powered functions.
ynulihao/AgentSkillOS
Intelligent pattern selection for Fabric CLI. An agent skill from ynulihao/AgentSkillOS.
lamm-mit/scienceclaw
Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights
mohitagw15856/pm-claude-skills
Model rent-vs-buy honestly — year-by-year net position for both paths including the assumption everyone drops (the renter invests the difference), with a breakeven horizon instead of a verdict.
data-goblin/power-bi-agentic-development
Expert guidance for the Fabric CLI (fab) and the Fabric and Power BI REST APIs: workspaces, items, lakehouses, notebooks, pipelines, semantic models, reports, capacities, OneLake, deployment and…
NVIDIA/skills
A skill your agent uses when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own…
rampstackco/claude-skills
Run a structured after-action review (postmortem, retrospective) on a launch, incident, or completed project to capture timeline, root cause analysis, contributing factors, and actionable lessons.
rampstackco/claude-skills
Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy.
rampstackco/claude-skills
Build or audit a comprehensive brand style guide that documents the full brand system including story, logo system, color, typography, imagery, voice, applications, and dos/don'ts.
rampstackco/claude-skills
Develop or document a complete brand voice and tone system covering voice attributes, tone shifts by context, vocabulary preferences, grammar rules, and copy examples.
rampstackco/claude-skills
Write or edit website copy, blog content, and editorial pieces with attention to voice, structure, and goal.
rampstackco/claude-skills
Develop a content strategy covering editorial positioning, content pillars, formats, calendar, governance, and topical authority planning.
Produce honest product reviews and buying guides without fabricated first-hand experience, using disclosed evidence tiers: verified specs, owner-experience synthesis at scale, expert triangulation…. Evidence Based Reviews is an agent skill from rampstackco/claude-skills. Produce honest product reviews and buying guides without fabricated first-hand experience, using disclosed evidence tiers: verified specs, owner-experience synthesis at scale, expert triangulation, and hands-on only when true.
Evidence Based Reviews fits situations like: the user wants to write product reviews; buying guides without hands-on access; set up a review methodology; add evidence disclosure to review content.
Run `npx skills add rampstackco/claude-skills --skill evidence-based-reviews -a claude-code`. Or copy the skill folder (skills/evidence-based-reviews in rampstackco/claude-skills) into .claude/skills/evidence-based-reviews in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rampstackco/claude-skills --skill evidence-based-reviews -a codex`. Or copy the skill folder (skills/evidence-based-reviews in rampstackco/claude-skills) into .agents/skills/evidence-based-reviews 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 rampstackco/claude-skills --skill evidence-based-reviews -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evidence-based-reviews, .gemini/skills/evidence-based-reviews, .github/skills/evidence-based-reviews and .opencode/skills/evidence-based-reviews in your project.
SKILL.md names no scripts, command-line tools or credentials: Evidence Based Reviews 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.
Evidence Based Reviews is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Evidence Based Reviews: Fabric Lakehouse (github/awesome-copilot, 40k stars), Fabric (ynulihao/AgentSkillOS, 617 stars), Fabric (lamm-mit/scienceclaw, 244 stars) and Rent Vs Buy (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rampstackco (a GitHub organization) maintains it in rampstackco/claude-skills, which has 940 GitHub stars. The repository holds 103 skills in this directory. The repository was last updated on October 7, 2026.
Source: rampstackco/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.