Chart Selector
revfactory/harness-100
Methodology for selecting optimal chart types based on data type and analysis purpose.
Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table…
Install Bi Measure Builder
$ npx skills add OneWave-AI/claude-skills --skill bi-measure-builder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OneWave-AI/claude-skills bi-measure-builder --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/OneWave-AI/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bi-measure-builder .claude/skills/bi-measure-builder && 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 "bi-measure-builder" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/bi-measure-builder into .claude/skills/bi-measure-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-measure-builder", 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/OneWave-AI/claude-skills/tree/main/bi-measure-builderType 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 OneWave-AI/claude-skills --skill bi-measure-builder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OneWave-AI/claude-skills bi-measure-builder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/bi-measure-builder .agents/skills/bi-measure-builder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bi-measure-builder" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/bi-measure-builder into .agents/skills/bi-measure-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-measure-builder", 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 OneWave-AI/claude-skills --skill bi-measure-builder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OneWave-AI/claude-skills bi-measure-builder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/bi-measure-builder .cursor/skills/bi-measure-builder && 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 "bi-measure-builder" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/bi-measure-builder into .cursor/skills/bi-measure-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-measure-builder", 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/OneWave-AI/claude-skills.git --path bi-measure-builder--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 OneWave-AI/claude-skills --skill bi-measure-builder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OneWave-AI/claude-skills bi-measure-builder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/bi-measure-builder .gemini/skills/bi-measure-builder && 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 "bi-measure-builder" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/bi-measure-builder into .gemini/skills/bi-measure-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-measure-builder", 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 OneWave-AI/claude-skills bi-measure-builderInstalls 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 OneWave-AI/claude-skills --skill bi-measure-builder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/bi-measure-builder .github/skills/bi-measure-builder && 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 "bi-measure-builder" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/bi-measure-builder into .github/skills/bi-measure-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-measure-builder", 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 OneWave-AI/claude-skills --skill bi-measure-builder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OneWave-AI/claude-skills bi-measure-builder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/bi-measure-builder .opencode/skills/bi-measure-builder && 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 "bi-measure-builder" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/bi-measure-builder into .opencode/skills/bi-measure-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-measure-builder", 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
bi-measure-builder- GitHub stars
- 336
- Token cost
- ~2.2k tokens
- SKILL.md length
- 1,067 words
- Files
- 26 (incl. scripts, references)
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- MIT
At a glance
Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table…
- Works in 7 steps: Pin down the model before writing… → Name the platform and version features.… → State the evaluation context in one or… → …
- The request involves DAX
- SKILL.md covers Workflow, References (load only the one…, Top traps and the fix for each and Verification script, plus 1 more section
- Runs Python scripts from its folder; calls python
What it does
Bi Measure Builder is an agent skill from OneWave-AI/claude-skills. Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table calculations), and Looker LookML measures, dimensions, and derived tables. Use it whenever the request involves DAX, CALCULATE, a Power BI measure, a Tableau calc or LOD, LookML, or a business metric such as YoY, YTD, rolling 12 months, running total, percent of total, distinct customers, ranking, new vs returning customers…
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 31 other files, including scripts and reference files (for example `examples/worked-example.md`, `examples/yoy_spec.json` and `references/dax.md`).
It sits in Data & Analytics. It works with Tableau and Power BI. The repository describes itself as: 200+ production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI. The licence is MIT.
When your agent uses it
- The request involves DAX
- A Power BI measure
- A business metric such as YoY
- Rolling 12 months
Example prompts
- “shows the wrong total”
- “is blank”
- “ignores my slicer/filter”
- “/bi-measure-builder”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Pin down the model before writing anything. Get (or state as an explicit assumption): the fact table and its grain (one row per order…
- Name the platform and version features. DAX: classic vs calendar-based time intelligence (preview), marked date table or not. Tableau…
- State the evaluation context in one or two sentences for a typical visual cell and for the grand total. Example: "Row = Month; filters =…
- Write the calculation from the matching pattern in the reference file. Use variables (DAX VAR) for readability and to evaluate each…
- Explain it line by line in terms of context: what each filter argument adds, removes, or overrides; where context transition happens…
- Give a hand-computable test: a 5-10 row sample, the visual layout, and the expected value for each row and the total. Generate or confirm…
- Performance notes only where they matter: iterator size, context transition inside large iterators, table filters vs column filters…
What it can do on your machine
Read from SKILL.md and the folder at commit fc5b785. 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
Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python
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
Bi Measure Builder loads about 2.2k tokens when it runs, and up to ~9.1k if it reads all its reference files. Until then it costs about 238 tokens; SKILL.md has 1,067 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); the scripts in this folder are not scanned.
SKILL.md
The full file from OneWave-AI/claude-skills at commit fc5b785, republished under its MIT licence (© OneWave-AI). 1,067 words, ~2,200 tokens.
Download SKILL.mdSave it as
.claude/skills/bi-measure-builder/SKILL.md (or your agent's skills folder). This skill also uses 25 other files; get the full folder from GitHub.- name
- bi-measure-builder
- description
- Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table calculations), and Looker LookML measures, dimensions, and derived tables. Use it whenever the request involves DAX, CALCULATE, a Power BI measure, a Tableau calc or LOD, LookML, or a business metric such as YoY, YTD, rolling 12 months, running total, percent of total, distinct customers, ranking, new vs returning customers, closing balances, or basket analysis. Use it especially when someone says a measure "shows the wrong total", "is blank", "ignores my slicer/filter", "repeats the same value on every row", or "is slow" - those are filter context, context transition, LOD order-of-operations, or fanout bugs this skill is built to diagnose. Produces the formula, the context it evaluates in, and a hand-checkable test with expected numbers.
BI Measure Builder
Most wrong BI numbers are not syntax errors. They are the right formula evaluated in the wrong context. Work context-first, and prove every measure against numbers computed independently.
Workflow
- Pin down the model before writing anything. Get (or state as an explicit assumption): the fact table and its grain (one row per order line? per snapshot?), dimension tables, relationship keys and direction, and the date table. Ask only for what changes the formula; otherwise state the assumption and proceed. Why: the same YoY formula is right on a star schema and wrong on a flat table with a text date.
- Name the platform and version features. DAX: classic vs calendar-based time intelligence (preview), marked date table or not. Tableau: live vs extract, context filters in use. Looker: dialect (window-function support,
period_over_periodsupport). - State the evaluation context in one or two sentences for a typical visual cell and for the grand total. Example: "Row = Month; filters = Region slicer; total = all months in the slicer range, recomputed, not summed." Why: this is where most bugs live, and saying it forces the check.
- Write the calculation from the matching pattern in the reference file. Use variables (DAX
VAR) for readability and to evaluate each sub-expression once. - Explain it line by line in terms of context: what each filter argument adds, removes, or overrides; where context transition happens; which Tableau pipeline step each part runs in; which part Looker runs in SQL vs after the query.
- Give a hand-computable test: a 5-10 row sample, the visual layout, and the expected value for each row and the total. Generate or confirm the numbers with
scripts/measure_check.py(below) rather than mental arithmetic. - Performance notes only where they matter: iterator size, context transition inside large iterators, table filters vs column filters, bidirectional relationships, LOD on high-cardinality dimensions, PDT persistence.
References (load only the one needed)
references/dax.md- DAX semantics recap plus patterns: YoY, YTD/fiscal YTD, rolling N, running total, % of total/parent, distinct count, ranking, new vs returning, semi-additive balances, basket.references/tableau.md- order of operations, LOD vs table calc choice, the same pattern set.references/looker.md- measure types, symmetric aggregates and fanout, post-SQL measure limits,period_over_period, derived tables, the same pattern set.examples/worked-example.md- a full run: "YoY % total is wrong" diagnosed, fixed in all three tools, verified with the script.
Top traps and the fix for each
| Trap | Symptom | Fix |
|---|---|---|
| CALCULATE boolean filter replaces the existing filter on that column | "Blue sales" shows the same number on every color row | Wrap in KEEPFILTERS(...) to intersect instead of overwrite, when the intent is "within the current selection" |
Filtering a whole table in CALCULATE (FILTER(Sales, ...)) | Wrong numbers via expanded-table intersection; very slow | Filter columns: KEEPFILTERS(Sales[Qty] * Sales[Price] >= 500) |
| Context transition surprise | Measure referenced inside SUMX/FILTER/calculated column gives per-row results or double counts duplicate rows | Know that a measure reference is an implicit CALCULATE; iterate a unique key (VALUES(Table[Key])), not a table with duplicate rows |
| Aggregator where an iterator is needed | SUM(Sales[Qty]) * SUM(Sales[Price]) is wrong | SUMX(Sales, Sales[Qty] * Sales[Price]) |
| Non-additive total "fixed" by summing | Distinct count or % total "doesn't add up" | Usually correct as-is. Only if the business wants a visual total: SUMX(VALUES(dim[key]), [Measure]) |
| Time intelligence without a proper date table | Blank or wrong YoY/YTD, errors on gaps | Classic DAX: contiguous date table marked as date table, relationship from it to the fact. Calendar-based: define a calendar. Never use the fact's own date column |
| BLANK vs 0 | Visual explodes to every customer; = 0 tests misfire | Return BLANK when there is nothing meaningful (DIVIDE without the 3rd arg); test with ISBLANK or ==, since BLANK() = 0 is TRUE |
| Bidirectional relationships as a shortcut | Ambiguity, slow, confusing slicers | Single-direction model; enable CROSSFILTER(..., BOTH) inside the one measure that needs it |
| Tableau FIXED ignores the dimension filter | LOD total unchanged when user filters | FIXED runs before dimension filters: add the filter to context, or use INCLUDE/EXCLUDE (run after dimension filters) |
| Tableau table calc sees only what is in the view | YoY blank for first year, rolling window truncated after filtering | Filter with a table-calc filter (runs after the calc) instead of a dimension filter; densify missing dates |
| Tableau total vs COUNTD / averages | Grand total differs from the row sum | "Automatic" totals re-aggregate underlying data (usually right); "Total Using: Sum" sums what is visible |
| Looker fanout on one-to-many joins | Sums inflated after adding a joined view | Set primary_key: yes on every view and a correct relationship:; Looker then applies symmetric aggregates. For denormalized tables use sum_distinct + sql_distinct_key |
| Looker post-SQL measures | running_total / percent_of_total wrong, null, or unfilterable | They compute after the query on returned rows only: row limits break them, they cannot be filtered or referenced by other measures. Move logic to SQL (derived table + window function) when it must be exact |
Looker filters: on type: number | Filter silently not applied | Put filters: on the component sum/count measures, then combine them in the type: number measure |
Show full SKILL.md (253 more words)Show less
Verification script
scripts/measure_check.py is an independent oracle (pandas). Give it the user's sample CSV and a JSON spec; it prints the expected value for every visual row and for the total, evaluated the way BI tools do (total recomputed in its own context, time calcs reading outside the slicer range, empty = BLANK). With --actual it diffs against what the tool shows and exits 1 on mismatch.
python scripts/measure_check.py --data sample.csv --spec spec.json [--actual tool_output.csv] [--json]Spec fields: calc (sum, count_rows, distinct_count, prior_year, yoy_delta, yoy_pct, ytd, running_total, rolling, new_customers, returning_customers, last_balance, pct_of_total, rank), date_column, value_column, key_column (customer/entity/distinct key), group_column (for pct/rank), grain (day|month|quarter|year), range ({start, end} = report date filter), filters ({column: [values]}), params (window, fiscal_year_start_month, ties: skip|dense, order, mode: per_entity|global_last_date). Examples of every calc: tests/specs/. Self-test: python tests/test_measure_check.py.
When the user has no sample, build a 5-10 row one that exercises the edge that matters (a missing month, a customer with no prior purchase, an entity without an end-of-month snapshot) and show it.
Output format
Return, in this order:
- Assumptions - model, grain, relationships, date table (bullets, only what matters).
- Evaluation context - one sentence for a row, one for the total.
- The code - one fenced block per tool requested, named measures, formatted.
- How it works - short, context-focused explanation.
- Test - sample table, expected results table (rows + total), and the spec used if the script was run.
- Gotchas / performance - only the ones relevant to this model.
When debugging an existing measure, lead with the one-line root cause, then the corrected code, then the test that shows old vs new values.
© OneWave-AI, 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 25 other files (scripts, references) in bi-measure-builder of OneWave-AI/claude-skills.
- SKILL.md
- examples/actual_yoy_fixed.csv
- examples/actual_yoy_from_tool.csv
- examples/worked-example.md
- examples/yoy_spec.json
- references/dax.md
- references/looker.md
- references/tableau.md
- scripts/measure_check.py
- tests/fixtures/balances.csv
- tests/fixtures/sales.csv
- tests/specs/balance_global_last.json
- tests/specs/balance_per_entity.json
- tests/specs/distinct_customers.json
- tests/specs/new_customers.json
- … and 11 more
Open the folder on GitHubat commit fc5b785
Compare with similar skills
Bi Measure Builder 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 |
|---|---|---|---|---|---|---|
| Bi Measure Builder this skillOneWave-AI/claude-skills | 336 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Chart Selectorrevfactory/harness-100 | 1.3k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Power Bi AI ReadinessDKH-DK/Self-Service-Power-BI-Fabric | 113 | — | ~2k | Automated safety check: Pass | None | |
| Pbi Report Builderlukasreese/powerbi-claude-skills | 129 | — | ~7.5k | Automated safety check: Pass | None | |
| Pbi Docxperiun/skills-xperiun-free | 116 | — | ~3k | Automated safety check: Pass | MIT | |
| Pbip Dependency Analyzerlukasreese/powerbi-claude-skills | 129 | — | ~3.2k | Automated safety check: Pass | None |
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Related
Categories
Questions about Bi Measure Builder
What does Bi Measure Builder do?
Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table…. Bi Measure Builder is an agent skill from OneWave-AI/claude-skills. Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table calculations), and Looker LookML measures, dimensions, and derived tables.
When should I use Bi Measure Builder?
Bi Measure Builder fits situations like: the request involves DAX; A Power BI measure; A business metric such as YoY; rolling 12 months.
How do I install Bi Measure Builder in Claude Code?
Run `npx skills add OneWave-AI/claude-skills --skill bi-measure-builder -a claude-code`. Or copy the skill folder (bi-measure-builder in OneWave-AI/claude-skills) into .claude/skills/bi-measure-builder in your project. Claude Code loads it when a task matches its description.
How do I install Bi Measure Builder in Codex?
Run `npx skills add OneWave-AI/claude-skills --skill bi-measure-builder -a codex`. Or copy the skill folder (bi-measure-builder in OneWave-AI/claude-skills) into .agents/skills/bi-measure-builder in your project. Codex loads it when a task matches its description.
Can I use Bi Measure Builder 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 OneWave-AI/claude-skills --skill bi-measure-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bi-measure-builder, .gemini/skills/bi-measure-builder, .github/skills/bi-measure-builder and .opencode/skills/bi-measure-builder in your project.
What does Bi Measure Builder need to run?
Going by SKILL.md and its folder, Bi Measure Builder needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Bi Measure Builder 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 Bi Measure Builder 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Bi Measure Builder use?
Bi Measure Builder 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 Bi Measure Builder use?
About 2.2k tokens (SKILL.md is roughly 8.8k 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 6.9k tokens, read only when the agent opens those files.
What are the alternatives to Bi Measure Builder?
Skills that share tags, products or a category with Bi Measure Builder: Chart Selector (revfactory/harness-100, 1.3k stars), Power Bi AI Readiness (DKH-DK/Self-Service-Power-BI-Fabric, 113 stars), Pbi Report Builder (lukasreese/powerbi-claude-skills, 129 stars) and Pbi Doc (xperiun/skills-xperiun-free, 116 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bi Measure Builder?
OneWave-AI (a GitHub organization) maintains it in OneWave-AI/claude-skills, which has 336 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.
Source: OneWave-AI/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.