Agent skill

Tlb Natural Text To Table

by campfirium in campfirium/obsidian-tile-line-base

Convert structured natural-language notes, bullet lists, meeting logs, outlines, and semi-structured Markdown into clean TileLineBase table Markdown.

MITAuto-check passedProductivity & Automation

Install Tlb Natural Text To Table

skills CLI
$ npx skills add campfirium/obsidian-tile-line-base --skill tlb-natural-text-to-table -a claude-code

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

GitHub CLI
$ gh skill install campfirium/obsidian-tile-line-base tlb-natural-text-to-table --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/campfirium/obsidian-tile-line-base.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tlb-natural-text-to-table .claude/skills/tlb-natural-text-to-table && 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
tlb-natural-text-to-table
GitHub stars
150
Token cost
~1.7k tokens
SKILL.md length
939 words
Files
2 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Convert structured natural-language notes, bullet lists, meeting logs, outlines, and semi-structured Markdown into clean TileLineBase table Markdown.

  • Works in 6 steps: Identify the row unit. → Pick the primary field. → Draft a shared field set. → …
  • The user asks to turn natural text into TLB
  • SKILL.md covers Completion standard, Required output shape, Workflow and Hierarchy contract, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tlb Natural Text To Table is an agent skill from campfirium/obsidian-tile-line-base. Convert structured natural-language notes, bullet lists, meeting logs, outlines, and semi-structured Markdown into clean TileLineBase table Markdown. Use when the user asks to turn natural text into TLB, convert prose or bullets into table blocks, restructure notes into TileLineBase rows, or extract repeated records into H2 key-value rows.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`).

It sits in Productivity & Automation, covering Task management. It works with Obsidian. The repository describes itself as: The Native Plain-Text Database for Obsidian. Build Tables, Kanban, and Slides with Zero Frontmatter. The licence is MIT.

When your agent uses it

  • The user asks to turn natural text into TLB
  • Bullets into table blocks
  • Restructure notes into TileLineBase rows
  • Extract repeated records into H2 key-value rows

Example prompts

  • “/tlb-natural-text-to-table”

Workflow steps

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

  1. Identify the row unit.
  2. Pick the primary field.
  3. Draft a shared field set.
  4. Extract facts conservatively.
  5. Fill missing values carefully.
  6. Emit clean TLB blocks.

What it can do on your machine

Read from SKILL.md and the folder at commit 6f291c4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Tlb Natural Text To Table loads about 1.7k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 939 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from campfirium/obsidian-tile-line-base at commit 6f291c4, republished under its MIT licence (© campfirium). 939 words, ~1,660 tokens.

Download SKILL.mdSave it as .claude/skills/tlb-natural-text-to-table/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
tlb-natural-text-to-table
description
Convert structured natural-language notes, bullet lists, meeting logs, outlines, and semi-structured Markdown into clean TileLineBase table Markdown. Use when the user asks to turn natural text into TLB, convert prose or bullets into table blocks, restructure notes into TileLineBase rows, or extract repeated records into H2 key-value rows.

TLB Natural Text To Table

Use this skill when the input is not yet a TileLineBase table, but it already contains repeated, recognizable records such as tasks, people, events, inventory items, requirements, or status updates.

Completion standard

The task is complete only when all of these are true:

  • The output is valid TileLineBase row content built from repeated ## field: value blocks.
  • The first field name is consistent across every row. For hierarchical output, use one shared primary field such as entry.
  • Skill-added field names are written in English. Values extracted from the source keep the source language.
  • Parent-child output uses TLBparent: on child rows only. This helper field is for the Conversion Assistant and should not be treated as a visible business field.
  • Default output uses a minimal schema: entry, optional description, and optional TLBparent.
  • Do not introduce extra fields unless the user explicitly asks for them.
  • Values come from the source text; weak guesses are avoided.
  • Noise, commentary, and one-off prose are either omitted or called out before conversion.
  • If the source mixes multiple record shapes that should not share one table, split them or stop and ask.

Required output shape

TileLineBase row data uses one H2 block per row:

md
## entry: Write launch post
description: Needs final screenshot

Rules:

  • The first line of each row must start with ## .
  • The first field should be one shared primary label for every row. Prefer a general English field such as entry unless the user explicitly asks for another stable field name.
  • Follow with flat field: value lines.
  • If the source contains parent-child structure, keep the same primary field on both parent and child rows, and add TLBparent: <parent primary value> on child rows only.
  • By default, only use these skill-added field names: entry, description, TLBparent.
  • Do not translate extracted values. Preserve the source language in row titles and field values.
  • Keep one field name spelling across all rows.
  • Use an empty value only when the field is truly missing and a shared schema matters.
  • Do not add free text between rows.

Read references/examples.md only when you need concrete patterns.

Workflow

  1. Identify the row unit. Treat each repeated item as one row. Good units are one bullet block, one agenda item, one person card, one changelog item, or one repeated paragraph pattern.

    If the source is hierarchical, still treat each parent or child item as one row. Do not switch the primary field name between parent and child rows.

  2. Pick the primary field. Choose the field that best names the row. Usually this is the subject users scan first.

  3. Draft a shared field set. Keep it very small and stable. Default to entry plus description. If hierarchy exists, add TLBparent for child rows only.

  4. Extract facts conservatively. Preserve source wording when it carries meaning. Normalize only light formatting such as extra spaces, checkbox markers, and duplicate punctuation.

    Preserve the original language of extracted values. Only the structural field names introduced by the skill should be normalized to English.

  5. Fill missing values carefully. If a value is absent, leave it empty instead of inventing one. If many rows are missing the same field, drop that field unless the user clearly needs it.

  6. Emit clean TLB blocks. Output only the final Markdown unless the user asked for explanation or review.

Show full SKILL.md (396 more words)Show less

Hierarchy contract

When the user wants parent-child rows for the Conversion Assistant:

  • Use one shared primary field name across all rows, typically entry.
  • Parent rows do not include TLBparent.
  • Child rows must include TLBparent: <parent primary value>.
  • TLBparent must exactly match the parent row's primary value.
  • Keep the rest of the payload minimal. Put supporting text into description unless the user explicitly asks for more structure.
  • Current design target is two levels only. Do not emit grandchild chains unless the user explicitly requests a lossy flattening strategy.
  • If multiple parents would have the same title and create ambiguity, prefer renaming or clarifying the parent values instead of guessing.

Heuristics

Good candidates
  • Repeated bullets with the same sub-items
  • Meeting notes where each person or topic has the same attributes
  • Release notes with item name, type, owner, date, status
  • Reading lists, CRM notes, hiring pipelines, bug summaries
Bad candidates
  • One long essay with no repeated units
  • Brainstorm fragments with no stable fields
  • Mixed content where some sections are tasks, others are decisions, others are raw quotes

For bad candidates, either:

  • propose a smaller slice that can be converted, or
  • ask the user to choose the row unit

Normalization rules

  • Strip list markers like - [ ], -, *, or numbering when they are only formatting.
  • Keep dates in the source form unless the user asked for normalization.
  • Keep casing for names and titles.
  • Keep the original language of extracted values.
  • Turn obvious booleans into plain values like yes, no, done, todo only when the source is unambiguous.
  • If one row contains extra detail that still matters, put it into description.

Field design guardrails

  • Prefer concrete field names over generic names like field1.
  • Do not create separate fields for near-duplicates like status, state, and progress; pick one.
  • Do not overfit one unusual row.
  • If the text clearly represents more than one table, split by entity type.

Ambiguity policy

Stop and ask only when one of these would materially change the result:

  • More than one plausible row unit exists
  • More than one plausible primary field exists
  • The source contains multiple incompatible schemas
  • Important values require interpretation rather than extraction

Otherwise, make the most conservative reasonable choice and proceed.

Response pattern

When the user asks for conversion, default to:

  1. one short sentence naming the row unit if needed
  2. the TLB Markdown block output

If the user says “just convert it”, return only the Markdown.

© campfirium, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/tlb-natural-text-to-table of campfirium/obsidian-tile-line-base.

  • SKILL.md
  • references/examples.md

Open the folder on GitHubat commit 6f291c4

Compare with similar skills

Tlb Natural Text To Table 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.

Tlb Natural Text To Table compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tlb Natural Text To Table this skillcampfirium/obsidian-tile-line-base150—~1.7kAutomated safety check: PassMIT
Pmcoreyhaines31/makerskills851—~2.2kAutomated safety check: PassMIT
Daily Notes Workflowballred/obsidian-claude-pkm1.9k—~2kAutomated safety check: PassMIT
Obsidian Project Trackerballred/obsidian-claude-pkm1.9k—~1.1kAutomated safety check: NotesMIT
Todo List CSVlili-luo/aicoding-cookbook687—~682Automated safety check: PassNone
Todays Daily Plantwhsi/skills259—~1.2kAutomated safety check: PassNone

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Works with

Questions about Tlb Natural Text To Table

What does Tlb Natural Text To Table do?

Convert structured natural-language notes, bullet lists, meeting logs, outlines, and semi-structured Markdown into clean TileLineBase table Markdown. Tlb Natural Text To Table is an agent skill from campfirium/obsidian-tile-line-base. Convert structured natural-language notes, bullet lists, meeting logs, outlines, and semi-structured Markdown into clean TileLineBase table Markdown.

When should I use Tlb Natural Text To Table?

Tlb Natural Text To Table fits situations like: the user asks to turn natural text into TLB; bullets into table blocks; restructure notes into TileLineBase rows; extract repeated records into H2 key-value rows.

How do I install Tlb Natural Text To Table in Claude Code?

Run `npx skills add campfirium/obsidian-tile-line-base --skill tlb-natural-text-to-table -a claude-code`. Or copy the skill folder (skills/tlb-natural-text-to-table in campfirium/obsidian-tile-line-base) into .claude/skills/tlb-natural-text-to-table in your project. Claude Code loads it when a task matches its description.

How do I install Tlb Natural Text To Table in Codex?

Run `npx skills add campfirium/obsidian-tile-line-base --skill tlb-natural-text-to-table -a codex`. Or copy the skill folder (skills/tlb-natural-text-to-table in campfirium/obsidian-tile-line-base) into .agents/skills/tlb-natural-text-to-table in your project. Codex loads it when a task matches its description.

Can I use Tlb Natural Text To Table 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 campfirium/obsidian-tile-line-base --skill tlb-natural-text-to-table -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tlb-natural-text-to-table, .gemini/skills/tlb-natural-text-to-table, .github/skills/tlb-natural-text-to-table and .opencode/skills/tlb-natural-text-to-table in your project.

What does Tlb Natural Text To Table need to run?

SKILL.md names no scripts, command-line tools or credentials: Tlb Natural Text To Table is instructions for the agent only.

Does Tlb Natural Text To Table 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 Tlb Natural Text To Table safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tlb Natural Text To Table use?

Tlb Natural Text To Table 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 Tlb Natural Text To Table use?

About 1.7k tokens (SKILL.md is roughly 6.6k 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 326 tokens, read only when the agent opens those files.

What are the alternatives to Tlb Natural Text To Table?

Skills that share tags, products or a category with Tlb Natural Text To Table: Pm (coreyhaines31/makerskills, 851 stars), Daily Notes Workflow (ballred/obsidian-claude-pkm, 1.9k stars), Obsidian Project Tracker (ballred/obsidian-claude-pkm, 1.9k stars) and Todo List CSV (lili-luo/aicoding-cookbook, 687 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tlb Natural Text To Table?

campfirium (a GitHub user) maintains it in campfirium/obsidian-tile-line-base, which has 150 GitHub stars. The repository was last updated on October 3, 2026.

Source: campfirium/obsidian-tile-line-base on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.