Expert guidance for the cross-platform Tabular Editor CLI (the te binary, currently in preview) that manages Power BI / Analysis Services semantic models from the terminal on macOS, Linux, and…

GPL-3.0Auto-check passedData & Analytics

Install Te CLI

skills CLI
$ npx skills add data-goblin/power-bi-agentic-development --skill te-cli -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install data-goblin/power-bi-agentic-development te-cli --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/data-goblin/power-bi-agentic-development.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/tabular-editor/skills/te-cli .claude/skills/te-cli && rm -rf skills-src

Use ~/.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/

Facts

Skill name
te-cli
GitHub stars
1k
Token cost
~5.7k tokens
SKILL.md length
2,691 words
Files
16 (incl. scripts, references)
Skills in repo
33
Repo updated
First seen
Licence
GPL-3.0

At a glance

Expert guidance for the cross-platform Tabular Editor CLI (the te binary, currently in preview) that manages Power BI / Analysis Services semantic models from the terminal on macOS, Linux, and…

  • Works in 6 steps: Summarize a model (most concise): te get… → Search the model (fastest): te find ""… → Query the model (needs a deployed model:… → …
  • The user mentions the te CLI
  • SKILL.md covers When to use this skill, When NOT to use this skill, Critical general rules and Verb naming (canonical…, plus 10 more sections
  • Needs AZURE_CLIENT_SECRET

What it does

Te CLI is an agent skill from data-goblin/power-bi-agentic-development. Expert guidance for the cross-platform Tabular Editor CLI (the te binary, currently in preview) that manages Power BI / Analysis Services semantic models from the terminal on macOS, Linux, and Windows. Use when the user mentions the te CLI or "Tabular Editor CLI" (not the "2"), or runs a te <command to scaffold, inspect, edit, validate, run BPA on, query, deploy, refresh, test, or migrate a semantic model. Not for the legacy Windows-only TabularEditor.exe (TE2).

Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `references/command-reference.md`, `references/config-cicd-env.md` and `references/fabric-cli-tandem.md`).

It sits in Data & Analytics. It works with Power BI, Linux and macOS. The repository describes itself as: Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports… The licence is GPL-3.0.

When your agent uses it

  • The user mentions the te CLI
  • Tabular Editor CLI (not the 2)
  • Runs a te <command to scaffold
  • Migrate a semantic model

Example prompts

  • “Tabular Editor CLI”
  • “/te-cli”

Requirements

  • A credential in AZURE_CLIENT_SECRET

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Summarize a model (most concise): te get . --model ./model prints the model root. For a structural inventory, te list (tables), te list…
  2. Search the model (fastest): te find "" --in names --paths-only --model ./model. Scope --in to names, expressions, descriptions…
  3. Query the model (needs a deployed model: -s/-d or an active connection; a local --model path cannot execute DAX)
  4. Make a change (dry run; --save persists): te set Sales/Revenue -p Expression="SUM(Sales[Amount])" --save --model ./model. Also te add…
  5. Make bulk changes: arbitrary bulk logic in one pass (the model loads once, avoiding ~1-2s per-call startup): te script --file bulk.csx…
  6. Validate and optimize

What it can do on your machine

Read from SKILL.md and the folder at commit a301717. 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 5 files in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.tabulareditor.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AZURE_CLIENT_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Te CLI loads about 5.7k tokens when it runs, and up to ~48k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 2,691 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~5.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~48k

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 data-goblin/power-bi-agentic-development at commit a301717, republished under its GPL-3.0 licence (© data-goblin). 2,691 words, ~5,693 tokens.

Download SKILL.mdSave it as .claude/skills/te-cli/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.
name
te-cli
description
Expert guidance for the cross-platform Tabular Editor CLI (the `te` binary, currently in preview) that manages Power BI / Analysis Services semantic models from the terminal on macOS, Linux, and Windows. Use when the user mentions the `te` CLI or "Tabular Editor CLI" (not the "2"), or runs a `te <command>` to scaffold, inspect, edit, validate, run BPA on, query, deploy, refresh, test, or migrate a semantic model. Not for the legacy Windows-only `TabularEditor.exe` (TE2).

Tabular Editor CLI (te)

To get the te CLI yourself (as the agent), see references/get-te-cli.md.

The te CLI is a single self-contained binary that loads, edits, validates, deploys, refreshes, and tests semantic models against TMDL/BIM files, Power BI Desktop, and cloud workspaces (Power BI, Fabric, Azure AS, SSAS). It is built on the same TOMWrapper that powers Tabular Editor 3, so model edits behave like the desktop app.

Always pass --output-format json when driving te programmatically. The default text/table output uses tables and ANSI styling that mangle in agent transcripts; JSON is parseable and avoids rendering issues.

Limited public preview. Preview builds stop functioning after 2026-10-31. No license is required during preview. Issues and feedback: https://github.com/TabularEditor/CLI

Not the TE2 CLI. This is a different product from the legacy Windows-only TabularEditor.exe (TE2). If the user invokes TE2 flag syntax (-D, -S, -A, -B, -TMDL, -O, -C, -V, -G), route it through the compat layer (TE_COMPAT=te2) or invoke TabularEditor.exe directly. See references/te2-migration.md.

When to use this skill

  • The user mentions "te CLI", "the new Tabular Editor CLI", or runs a te <command> in a terminal
  • The user wants to scaffold, inspect, edit, validate, deploy, refresh, query, or test a semantic model from the terminal on any OS
  • The user wants to convert TMDL, BIM, or PBIP, run BPA, or format DAX from the command line
  • The user wants to set up a DAX regression test suite, snapshot baselines, or A/B-compare two deployed models
  • The user is building a CI/CD pipeline (GitHub Actions or Azure DevOps) that validates, tests, or deploys a semantic model to Power BI / Fabric
  • The user is migrating CI/CD pipelines from TabularEditor.exe (TE2) to te

When NOT to use this skill

  • The user explicitly wants to run TabularEditor.exe natively (TE2); use that product directly
  • The user asks about Tabular Editor 3 desktop UI features (Preferences.json, MacroActions.json, Layouts.json); consult https://docs.tabulareditor.com/
  • The user wants help authoring a C# script body or a BPA rule expression itself rather than running it; use the c-sharp-scripting and bpa-rules skills

Critical general rules

  • First use in a session: run te --version and te auth status. If not authenticated, ask the user to run te auth login.
  • Run te --help and te <command> --help the first time composing a command; flags are still evolving during preview.
  • The model is always a flag, never a trailing path. Pass --model <path> (-m) for a local model, or -s <server> -d <database> for a deployed one, on every command. te get Sales/Amount ./model is rejected with Unrecognized positional argument; write te get Sales/Amount --model ./model.
  • Properties are -p Name=Value. Read with te get <path> -p Expression, write with te set <path> -p Expression="...", repeat -p for several properties, or drop the flag on set (te set Sales/Amount Description="Net" FormatString="#,0"). The old -q <name> -i <value> pair no longer exists. Discover the names first: te get <path> --properties --output-format json lists every property -p accepts on that object with its type, writability and allowed values; an unknown name in an error points at the same listing. Clear a property with --unset <Name> (or -p Name=null); a piped value (-p Name=-) is stored verbatim.
  • te connect state is per-shell-session and does NOT survive across separate Bash tool calls (each call is a fresh shell). Pass --model (and -s/-d for remote) on every command, or set TE_SESSION=<name> before the first call to share state.
  • Every mutation is a dry run until --save. te set, te add, te remove, te move, te script, te macro run, and te bpa run --fix apply the change in memory, print a before/after diff, and end with Dry run - nothing saved. Add --save to persist. Run once bare to check the diff, then re-run with --save (unless interactiveEditMode is set to save).
  • te deploy and te refresh are dry runs too. Without --execute they connect read-only and print the TMSL they would send. Both ask for confirmation at a terminal, so in CI pass --execute --force --non-interactive; an unattended --execute without --force stops with an error. The deploy target is --target-server / --target-database; -s/-d always mean the model you are deploying from. te deploy exits non-zero when the server accepts the metadata but parks objects with errors, so a green exit means the model is queryable.
  • The BPA gate is ON by default for te deploy and te save-as. Bypass deliberately: --skip-bpa, --fix-bpa, or bpa.onDeploy / bpa.onSave config (keys are nested under bpa., not flat).
  • Metadata commands (te list, te get, te set, te add, te validate, te bpa run, te script) work on a local model via --model. Commands that execute DAX or touch data (te query, te vertipaq, te refresh, te test run, te test snapshot) need a deployed model: pass -s/-d (or an active connection); --model alone errors with "No server specified". te vertipaq --import <file.vpax> is the offline exception.
  • Quote object names that contain { } * ? or spaces: te get "Tables/'{foo}'", te get "'Net Sales'[Sales Amount]". KPIs and Sets are container keywords in filter paths, so a table literally named KPIs is te list "'KPIs'". Every path the CLI prints (errors, --paths-only, JSON objectPath) is already quoted and pastes straight back.
  • Never put secrets on the command line (visible in ps and shell history). Use --auth env with AZURE_CLIENT_ID/AZURE_CLIENT_SECRET/AZURE_TENANT_ID, stdin (-), or --auth managed-identity.
  • Avoid destructive operations without explicit direction: te remove, te move, te deploy --execute --create-only, te save-as --force, te set --update-schema --drop-removed-columns, te connect --clear. If a command is blocked by permissions, stop and ask.

Verb naming (canonical long-form + Unix aliases)

Long-form verbs are canonical: te list, te remove, te move, te save-as at the root, and list/remove in subgroups (te macro, te bpa rules, te profile, te session, te test). Short Unix-style aliases work everywhere: ls, rm, mv, save. te move also accepts rename. te add has no short alias. Model-free helpers live under te util (format-dax, format-m, migrate). This skill uses the long forms throughout; the aliases still work if you prefer to type them.

Staging model (--save / --stage / --revert)

Every mutating command runs through a staging dispatcher: edits (set, add, remove, move), TOM (script, macro run), and BPA --fix.

By default edits stage in memory and are discarded on exit. Pass --save to persist. The default is configurable with te config set interactiveEditMode <mode>:

  • stage (default): keep changes in memory; persist with explicit --save
  • save: auto-persist after each successful mutation
  • revert: auto-roll-back after each mutation (safe audit/dry-run style)

Inside te interactive, --save, --stage, and --revert are available per command and mutually exclusive, and save commits staged edits while save-as re-serializes. Leaving the session with staged edits still unsaved asks for confirmation at a terminal and, when input is piped, warns and exits non-zero; exit --force discards them deliberately. --save-to <path> writes the mutation to a different location without overwriting the source. --force on te set/te add/te script/te save-as lets a mutation persist even when it introduces NEW DAX validation errors; the default save gate refuses to persist if the mutation introduces new errors (pre-existing errors do not block).

Every mutation prints what changed as a -/+ diff. --stat (one line per changed object) and --name-only (changed paths, pipeable into te get) are shorter views; te config set mutationOutput stat|name-only|none sets a standing default. JSON output always carries the full changes array regardless.

Quickstart

bash
te --version && te auth status          # 0. check install + auth
te auth login                           # 1. authenticate (browser); cached
te init ./my-model                      # 2. scaffold (PowerBI mode, TMDL, compat 1705)
te get . --model ./model                # 3. model summary; then `te list --model ./model`, `te list Sales --model ./model`
te find "Revenue" --in names --model ./model            # 4. search (names | expressions | descriptions | all)
te get Sales/Revenue -p Expression --model ./model      # 5. read a measure's DAX
te bpa run --fail-on error --ci github --model ./model  # 6. BPA gate
te set Sales/Revenue --format Expression --save --model ./model   # 7. format one expression (whole model: see below)
te query "EVALUATE TOPN(5, 'Sales')" -s ws -d model     # 8. query (positional or -q)
te save-as -o ./out --serialization tmdl --model ./model          # 9. save / convert (tmdl|bim|pbip|database.json)
te deploy --model ./model --target-server ws --target-database model             # 10a. dry run: prints the TMSL
te deploy --model ./model --target-server ws --target-database model --execute --force --ci github   # 10b. deploy
te refresh --type full -s ws -d model --execute --force # 11. refresh (omit --execute to see the TMSL; --force skips the confirmation)

te connect <ws> <model> sets an active connection for interactive terminals, but it does not persist across separate Bash tool calls. In agentic or scripted use, pass --model/-s/-d explicitly every command (or set TE_SESSION).

Common operations

The highest-frequency tasks in their most concise form. Full flags are in references/command-reference.md; flags are still moving in preview, so confirm with te <command> --help.

  1. Summarize a model (most concise): te get . --model ./model prints the model root. For a structural inventory, te list (tables), te list Measures (every measure across the model), te list Relationships, te list KPIs, te list Functions. Add --output-format json for a machine-readable dump; every object carries an objectPath you can hand back to te get.
  2. Search the model (fastest): te find "<text>" --in names --paths-only --model ./model. Scope --in to names, expressions, descriptions, displayFolders, formatStrings, annotations, or all; --in expressions walks every DAX and M expression. --paths-only is the fast, pipeable form. Structural lookups use wildcards (te list "Sales/*Amount") or property filters (te get Columns --where DataType=String --where IsHidden=true --ls). Relationships are enumerated with te list Relationships (or DAX EVALUATE INFO.VIEW.RELATIONSHIPS() for the friendly view with cross-filter direction and active flag).
  3. Query the model (needs a deployed model: -s/-d or an active connection; a local --model path cannot execute DAX):
    • Positional DAX: te query "EVALUATE TOPN(10, Sales)" -s ws -d model (or -q "<dax>"; explicit -q still wins)
    • From a .dax file: te query --file query.dax -s ws -d model
    • Save results (format picked by extension): --output-file out.csv (csv/tsv/json/dax); machine-readable stdout: --output-format json.
  4. Make a change (dry run; --save persists): te set Sales/Revenue -p Expression="SUM(Sales[Amount])" --save --model ./model. Also te add Sales/Margin -t Measure -p Expression="[Revenue]-[COGS]" --save, te remove, te move. Read the current value first with te get Sales/Revenue -p Expression. Set several properties at once by repeating -p.
  5. Make bulk changes: arbitrary bulk logic in one pass (the model loads once, avoiding ~1-2s per-call startup): te script --file bulk.csx --save, or inline te script --inline "foreach (var m in Model.AllMeasures) m.FormatString = \"#,0\";" --save. Predefined macros: te macro run "<name>" --on "Sales/A,Sales/B" --save. There is no whole-model text replace; use te find to locate and te script to change with token-level control.
    • AI metadata CRUD: use scripts/manage-ai-metadata.csx for non-interactive CustomInstructions and Copilot schema Entities management; use scripts/edit-ai-instructions-interactive.csx or scripts/edit-ai-schema-interactive.csx inside TE3 Desktop.
  6. Validate and optimize:
    • Validate DAX, schema, and relationships: te validate --errors-only --model ./model.
    • Best-practice gate: te bpa run --fail-on warning --model ./model (--fix auto-applies fixes; add --save to keep them). Format one expression with te set <path> --format Expression --save; format every measure with te script --inline "Model.AllMeasures.FormatDax();" --save; format a loose snippet with te util format-dax "<dax>".
    • Size and storage: te vertipaq --columns --detail --top 20 -s ws -d model surfaces the largest columns first (VertiPaq stats live in the deployed database; for offline analysis use --import stats.vpax); references/semantic-modeling-practices.md covers what to do about them.
    • Dead code: te deps --unused --hidden --model ./model lists hidden measures and columns nothing references.
Show full SKILL.md (979 more words)Show less

Global options

Abbreviated; the full table (server and database detail, resolution order) is in references/command-reference.md.

OptionDescription
-m, --model <path>TMDL folder, .bim, database.json folder, or .SemanticModel folder
-s, --server / -d, --databaseWorkspace/endpoint and semantic model name. On te deploy this is the source; the target is --target-server/--target-database
--localA locally running Analysis Services instance: Power BI Desktop, Visual Studio, SSAS (Windows only)
--recent [N]Reuse a recently used model (no value = picker, 1 = last used)
--auth <method>auto | interactive | spn | env | managed-identity; unknown values error
--output-format <fmt>text (default) | json | csv | tmsl (alias bim) | tmdl; how STDOUT renders
--error-format <fmt>text (default) | json; how errors/warnings render on stderr
--non-interactiveDisable prompts; fail if input missing (set in CI)
--debugDebug logs to stderr

Note: --output-format (how stdout renders) and --serialization (how a model is written to disk on init/save-as/--save-to) are different flags. Do not conflate them.

Semantic modeling checklist

Driving the CLI correctly is not the same as building a good model. After te add creates an object, apply the modeling decision that makes it correct and usable. The highest-value practices, each with its te command (add --model ./model or -s/-d):

PracticeWhyte command
SummarizeBy = None on key/ID columnsstops Power BI silently summing keys into meaningless totalste set Sales/ProductKey -p SummarizeBy=None --save
Hide foreign-key and surrogate-key columnskeys serve relationships, not visuals; keeps the field list cleante set Sales/ProductKey -p IsHidden=true --save
Mark the date tableunlocks reliable time intelligencete set Date -p DataCategory=Time --save
Single cross-filter direction by defaultavoids ambiguous filter paths and double countinglist with te list Relationships (or DAX EVALUATE INFO.VIEW.RELATIONSHIPS()), read one with te get "Relationships/<guid>" (paste the path --paths-only prints); enable bidirectional only for a deliberate bridge
Format string on every measureunformatted measures render raw floatste set "_Measures/Revenue" -p FormatString="#,0.00" --save
Display folder + description on measuresa flat field pane is unusable past a few dozen measures; descriptions feed tooltips and Copilotte set "_Measures/Revenue" -p DisplayFolder=Revenue -p Description="Net revenue" --save
Minimal correct data types; integer surrogate keyshigh-cardinality and oversized types bloat VertiPaqte set Sales/CustomerKey -p DataType=Int64 --save
Prefer measures over calculated columnscalculated columns cost storage and break some DirectQuery/DirectLake pathste add "_Measures/Margin" -t Measure -p Expression="[Revenue]-[COGS]" --save
Calculation groups over measure sprawlturns N measures x K variants into N + K objectssee references/semantic-modeling-practices.md
Gate every batch with validate + BPAcatches broken references and antipatterns while the change is freshte validate --model ./model && te bpa run --fail-on warning --model ./model

Full rationale, citations, and worked workflows (RLS roles, calculation groups, date tables, VertiPaq tuning): references/semantic-modeling-practices.md.

Command index

Eleven command families. Full flags and examples in references/command-reference.md.

  • Model I/O: te save-as (alias save), te init
  • Editing: te set (properties, --unset, --format, --update-schema), te add, te remove, te move
  • Inspection: te get (--ls, --where, --deps, --unused, --properties), te list, te find, te diff, te deps
  • Analysis & quality: te validate, te bpa run, te bpa rules, te vertipaq
  • Execution: te query, te script, te macro
  • Deploy & refresh: te deploy, te refresh (refresh policies via te set <table>/RefreshPolicy and te refresh --apply-refresh-policy)
  • Testing: te test (run, init, list, spec, use, snapshot, compare); suite authoring in references/testing.md
  • Connection & auth: te connect, te auth, te profile
  • Configuration: te config
  • Utilities (never load a model): te util format-dax, te util format-m, te util migrate
  • Shell: te interactive (model-aware REPL; subcommands work without the te prefix), te session, te completion

The authoring loop

Run quality gates continuously, not only at deploy:

bash
te validate --errors-only --model ./model                 # after each batch of edits
te bpa run --fail-on warning --model ./model              # antipattern gate during development
te script --inline "Model.AllMeasures.FormatDax();" --save --model ./model   # consistent DAX layout before commit

For build scripts that issue many te calls, set te config set bpa.onSave false first (skip the per-save BPA pass), run BPA once at the end, and set te config set spinner false for cleaner logs. Each invocation has ~1-2s of startup; prefer one te script with a C# loop over N te set calls for bulk edits.

Using te with other Power BI CLIs

te owns the semantic model. Two sibling CLIs own the layers around it, and the highest-value workflows cross the boundary:

  • pbir (the Power BI report layer): renaming or moving a model object leaves the report bound to the old Table.Field. te move cascades DAX references inside the model, but it cannot see report JSON; repair the report bindings separately (pbir fields replace, pbir validate --fields). See references/pbir-cli-tandem.md.
  • fab (the Fabric / Power BI service): export a model from a workspace, edit and gate it locally with te, then deploy over XMLA (te deploy --execute) or import it back (fab import). See references/fabric-cli-tandem.md.

Gate any cross-tool refactor with te validate before touching the report or the service, and remember every te mutation stages in memory until --save.

Bundled scripts

  • scripts/manage-ai-metadata.csx - non-interactive te script CRUD for semantic model AI instructions (CustomInstructions) and AI schema (Entities) stored in culture linguistic metadata.
  • scripts/edit-ai-instructions-interactive.csx - TE3 Desktop GUI editor for semantic model AI instructions.
  • scripts/edit-ai-schema-interactive.csx - TE3 Desktop GUI editor for semantic model AI schema.
  • scripts/manage-ai-metadata-interactive.csx - original combined TE3 Desktop editor prototype.

References

Bundled (load as needed):

  • references/get-te-cli.md - agent self-service install of the te binary from the public CDN
  • references/command-reference.md - object path grammar, global options, all command families, authentication, connections/profiles/sessions
  • references/testing.md - authoring .test.yaml suites (assertions, tolerance, tags, matrix), snapshot regression, A/B compare across workspaces
  • references/semantic-modeling-practices.md - modeling best practices tied to te commands, with sources
  • references/workflows.md - multi-step recipes (table + M partition, format conversions, deploy, refresh, perspectives, translations, incremental refresh, field parameters)
  • references/gotchas.md - path/property traps, output shapes, behavior traps
  • references/config-cicd-env.md - config keys, speed knobs, CI/CD pipelines (GitHub Actions, Azure DevOps, Fabric practices), output formats, exit codes, environment variables
  • references/te2-migration.md - TE2 compat activation and full flag mapping
  • references/pbir-cli-tandem.md - using te with the pbir CLI (rename and refactor propagation, thin reports, validation pairing)
  • references/fabric-cli-tandem.md - using te with the fab CLI (export/edit/deploy round-trip, discovery, refresh, promotion)

Authoritative docs:

© data-goblin, GPL-3.0. 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 15 other files (scripts, references) in plugins/tabular-editor/skills/te-cli of data-goblin/power-bi-agentic-development.

  • SKILL.md
  • references/command-reference.md
  • references/config-cicd-env.md
  • references/fabric-cli-tandem.md
  • references/get-te-cli.md
  • references/gotchas.md
  • references/pbir-cli-tandem.md
  • references/semantic-modeling-practices.md
  • references/te2-migration.md
  • references/testing.md
  • references/workflows.md
  • scripts/README.md
  • scripts/edit-ai-instructions-interactive.csx
  • scripts/edit-ai-schema-interactive.csx
  • scripts/manage-ai-metadata-interactive.csx
  • scripts/manage-ai-metadata.csx

Open the folder on GitHubat commit a301717

Compare with similar skills

Te CLI 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.

Te CLI compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Te CLI this skilldata-goblin/power-bi-agentic-development1k—~5.7kAutomated safety check: PassGPL-3.0
Environment SetupNorman-bury/research-writing-skill3.4k—~840Automated safety check: PassMIT
Convert Websitegrowerp/growerp115—~2.6kAutomated safety check: PassApache-2.0
Image Manipulation Image Magickgithub/awesome-copilot40k1 repos~1.7kAutomated safety check: NotesMIT
Engine Whats Newflutter/flutter179k—~978Automated safety check: PassBSD-3-Clause
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT

Similar skills

  • Environment Setup

    Norman-bury/research-writing-skill

    A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required

    3.4k GitHub stars~840 tokensUpdated 4 mo ago
    Data & AnalyticsAuto-check passed
  • Convert Website

    growerp/growerp

    Convert an existing company website into a GrowERP-hosted website for a new owner (tenant), including logo and page images.

    115 GitHub stars~2.6k tokensUpdated today
    Data & AnalyticsAuto-check passed
  • Image Manipulation Image Magick

    github/awesome-copilot

    Official

    Process and manipulate images using ImageMagick. An agent skill from github/awesome-copilot.

    40k GitHub starsUsed in 1 repo~1.7k tokens
    Data & AnalyticsAuto-check: notes
  • Engine Whats New

    flutter/flutter

    Generates the "what's new" release summary and diff file for changes in the Flutter engine (//engine/src/flutter) between two releases (e.g., 3.47 vs 3.44).

    179k GitHub stars~978 tokensUpdated today
    MobileAuto-check passed
  • Openclaw Live Updater

    openclaw/openclaw

    Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.

    392k GitHub stars~3.7k tokensUpdated today
    DevOps & CloudAuto-check passed
  • Apple Container Test Runner

    RustPython/RustPython

    Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.

    22k GitHub stars~467 tokensUpdated today
    Testing & QAAuto-check passed

More from data-goblin/power-bi-agentic-development

All 33 skills in this repo
  • Paginated Report

    data-goblin/power-bi-agentic-development

    Author, validate, publish, and test Power BI paginated reports in the RDL format.

    1k GitHub stars~3.5k tokensUpdated yesterday
    Auto-check passed
  • Audit Tenant Settings

    data-goblin/power-bi-agentic-development

    Automatically invoke this skill whenever the user asks about Fabric tenant settings or Power BI tenant settings or auditing tenant settings.

    1k GitHub stars~4.7k tokensUpdated yesterday
    Auto-check passed
  • Bpa Rules

    data-goblin/power-bi-agentic-development

    Interactive BPA rule generation for Power BI semantic models; guided discovery, model investigation, and expert rule authoring.

    1k GitHub stars~4.4k tokensUpdated yesterday
    Auto-check passed
  • Pbip

    data-goblin/power-bi-agentic-development

    Guidance for Power BI Project (PBIP) structure, thick and thin reports, project renames, forks, and validation.

    1k GitHub stars~3.8k tokensUpdated yesterday
    Auto-check passed
  • Review Report

    data-goblin/power-bi-agentic-development

    Actionable feedback on the quality, usage, and effectiveness of Power BI reports.

    1k GitHub stars~4.2k tokensUpdated yesterday
    Auto-check passed
  • Semantic Model

    data-goblin/power-bi-agentic-development

    This skill should be used whenever the user mentions a "semantic model", "data model", or "dataset", or asks to "build", "model", "design", "optimize", "review", or "audit" one, or to "add a…

    1k GitHub stars~2.8k tokensUpdated yesterday
    Auto-check passed

Questions about Te CLI

What does Te CLI do?

Expert guidance for the cross-platform Tabular Editor CLI (the te binary, currently in preview) that manages Power BI / Analysis Services semantic models from the terminal on macOS, Linux, and…. Te CLI is an agent skill from data-goblin/power-bi-agentic-development. Expert guidance for the cross-platform Tabular Editor CLI (the te binary, currently in preview) that manages Power BI / Analysis Services semantic models from the terminal on macOS, Linux, and Windows.

When should I use Te CLI?

Te CLI fits situations like: the user mentions the te CLI; tabular Editor CLI (not the 2); runs a te <command to scaffold; migrate a semantic model.

How do I install Te CLI in Claude Code?

Run `npx skills add data-goblin/power-bi-agentic-development --skill te-cli -a claude-code`. Or copy the skill folder (plugins/tabular-editor/skills/te-cli in data-goblin/power-bi-agentic-development) into .claude/skills/te-cli in your project. Claude Code loads it when a task matches its description.

How do I install Te CLI in Codex?

Run `npx skills add data-goblin/power-bi-agentic-development --skill te-cli -a codex`. Or copy the skill folder (plugins/tabular-editor/skills/te-cli in data-goblin/power-bi-agentic-development) into .agents/skills/te-cli in your project. Codex loads it when a task matches its description.

Can I use Te CLI 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 data-goblin/power-bi-agentic-development --skill te-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/te-cli, .gemini/skills/te-cli, .github/skills/te-cli and .opencode/skills/te-cli in your project.

What does Te CLI need to run?

Going by SKILL.md and its folder, Te CLI needs credentials named AZURE_CLIENT_SECRET. Our summary lists: A credential in AZURE_CLIENT_SECRET.

Does Te CLI access the network?

SKILL.md names 2 domains. As links in the text: docs.tabulareditor.com and github.com. This is read from the text; nothing was executed.

Is Te CLI 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 Te CLI use?

Te CLI is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Te CLI use?

About 5.7k tokens (SKILL.md is roughly 23k 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 42k tokens, read only when the agent opens those files.

What are the alternatives to Te CLI?

Skills that share tags, products or a category with Te CLI: Environment Setup (Norman-bury/research-writing-skill, 3.4k stars), Convert Website (growerp/growerp, 115 stars), Image Manipulation Image Magick (github/awesome-copilot, 40k stars) and Engine Whats New (flutter/flutter, 179k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Te CLI?

data-goblin (a GitHub user) maintains it in data-goblin/power-bi-agentic-development, which has 1,031 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 7, 2026.

Source: data-goblin/power-bi-agentic-development on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.