Launch or prepare the optional local visual panel for AK-Threads-Booster.

MITAuto-check: notesWriting & Content

Install Panel

skills CLI
$ npx skills add akseolabs-seo/AK-Threads-booster --skill panel -a claude-code

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

GitHub CLI
$ gh skill install akseolabs-seo/AK-Threads-booster panel --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/akseolabs-seo/AK-Threads-booster.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/panel .claude/skills/panel && 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
panel
GitHub stars
275
Token cost
~873 tokens
SKILL.md length
412 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

Launch or prepare the optional local visual panel for AK-Threads-Booster.

  • Works in 5 steps: If threads_daily_tracker.json exists,… → If companion files exist, the panel adds… → If compiled memory exists, the panel… → …
  • The user asks for a dashboard
  • SKILL.md covers Scope, Required Reads, Data Boundary and Launch Path, plus 3 more sections
  • Calls python

What it does

Panel is an agent skill from akseolabs-seo/AK-Threads-booster. Launch or prepare the optional local visual panel for AK-Threads-Booster. Use when the user asks for a dashboard, visual panel, local UI, data cockpit, or quick way to view tracker/compiled data.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content. The repository describes itself as: AK體 · 數據驅動的 Threads 寫文決策系統。用你的歷史貼文、演算法與社媒心理學,協助選題、起草、發文前診斷、表現預估與復盤。Data-driven Threads writing advisor — topic selection, drafting, diagnosis, prediction & review based on your… The licence is MIT.

When your agent uses it

  • The user asks for a dashboard
  • Quick way to view tracker/compiled data

Example prompts

  • “/panel”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Bash, Glob

Workflow steps

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

  1. If threads_daily_tracker.json exists, the panel computes core analysis from the tracker alone: totals, median views, recent average, P90…
  2. If companion files exist, the panel adds readable archives: posts by date, posts by topic, comments, brand voice, and style guide.
  3. If compiled memory exists, the panel adds next-move and account-state blocks.
  4. If optional files are missing, the panel still loads and shows source/companion coverage so the user knows which layers are present.
  5. If the user clicks rebuild, the local server runs scripts/build_compiled_memory.py and writes compiled/ beside the discovered tracker.

What it can do on your machine

Read from SKILL.md and the folder at commit cc08954. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    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

Panel loads about 873 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 412 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~873

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob

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 akseolabs-seo/AK-Threads-booster at commit cc08954, republished under its MIT licence (© akseolabs-seo). 412 words, ~873 tokens.

Download SKILL.mdSave it as .claude/skills/panel/SKILL.md (or your agent's skills folder).
name
panel
description
Launch or prepare the optional local visual panel for AK-Threads-Booster. Use when the user asks for a dashboard, visual panel, local UI, data cockpit, or quick way to view tracker/compiled data.
allowed-tools
Read, Bash, Glob
version
2.0.0

AK-Threads-Booster Local Panel Module

This module is the optional zero-token UI layer. It helps users inspect their tracker and compiled memory before asking the agent for deeper analysis.

Scope

Use this module when the user asks to:

  • open a local panel
  • create a dashboard
  • view tracker data visually
  • inspect posts, topics, metrics, or compiled memory through a UI
  • make AK-Threads-Booster easier for non-technical users

Do not run /analyze, /topics, /draft, /predict, or /review unless the user asks for AI interpretation after viewing data.

Required Reads

Read these small files only:

  • panel/README.md
  • panel/DESIGN.md

You do not need the runtime budget prompt because opening the panel itself uses no model tokens beyond the current conversation.

Data Boundary

  • threads_daily_tracker.json remains the source of truth.
  • compiled/ files are optional display context.
  • The panel must not fabricate data-backed claims.
  • AI actions must be explicit user-triggered follow-up steps, not automatic panel load behavior.

Launch Path

Preferred command from the workspace root:

bash
python scripts/panel_server.py --open

If the user's tracker and companion files live outside the skill folder, pass that folder as --data-root:

bash
python scripts/panel_server.py --data-root "<user data folder>" --open

If browser opening is unavailable, run:

bash
python scripts/panel_server.py

Then give the user the printed local URL.

The server searches --data-root recursively for:

  • threads_daily_tracker.json
  • compiled/next_move_queue.md
  • compiled/account_state.md
  • brand_voice.md
  • style_guide.md / 寫作風格指南.md
  • posts_by_date.md / 歷史貼文-按時間排序.md
  • posts_by_topic.md / 歷史貼文-按主題分類.md
  • comments.md / 留言記錄.md
Show full SKILL.md (208 more words)Show less

Coverage Guarantee

Every user should see useful panel data in this order:

  1. If threads_daily_tracker.json exists, the panel computes core analysis from the tracker alone: totals, median views, recent average, P90 threshold, performance distribution, time slots, content types, topic ranking, top posts, low performers, and conversation signals.
  2. If companion files exist, the panel adds readable archives: posts by date, posts by topic, comments, brand voice, and style guide.
  3. If compiled memory exists, the panel adds next-move and account-state blocks.
  4. If optional files are missing, the panel still loads and shows source/companion coverage so the user knows which layers are present.
  5. If the user clicks rebuild, the local server runs scripts/build_compiled_memory.py and writes compiled/ beside the discovered tracker.

Do not promise that every optional block will be populated for every user. Promise that the tracker-only analysis layer will appear whenever a valid tracker exists.

Fallback Path

If Python is unavailable, tell the user to open:

text
panel/index.html

Folder access may require a Chromium browser. File import still works without folder access.

Output Shape

Keep the response short:

  1. Confirm the panel is local-only and zero-token at rest.
  2. Give the local URL or file path.
  3. Mention that AI analysis starts only when they ask for it.

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

Files

Just SKILL.md in skills/panel of akseolabs-seo/AK-Threads-booster.

Open the folder on GitHubat commit cc08954

Compare with similar skills

Panel 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.

Panel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Panel this skillakseolabs-seo/AK-Threads-booster275—~873Automated safety check: NotesMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
HumanizerAzure-Samples/interview-coach-agent-framework17338 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
JavaScript Concept Fact Checkerleonardomso/33-js-concepts67k1 repos~5kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT

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More from akseolabs-seo/AK-Threads-booster

All 12 skills in this repo
  • Voice

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    Deep analysis of user's historical posts and comment replies to build a comprehensive Brand Voice profile.

    275 GitHub stars~2k tokensUpdated 3 mo ago
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  • Optimize

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  • Topics

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    Mine insights from comments and historical data to recommend the next worthwhile topics.

    275 GitHub stars~1.8k tokensUpdated 3 mo ago
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  • Update

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    Check AK-Threads-Booster for upstream GitHub updates, safely fast-forward the local skill repo, or install an opt-in weekly Codex automation that keeps the skill on the latest version.

    275 GitHub stars~1.1k tokensUpdated 3 mo ago
    Auto-check: notes
  • Draft

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    Select a topic and generate a draft based on the user's Brand Voice.

    275 GitHub stars~2.6k tokensUpdated 3 mo ago
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  • Refresh

    akseolabs-seo/AK-Threads-booster

    Refresh threadsdailytracker.json. An agent skill from akseolabs-seo/AK-Threads-booster.

    275 GitHub stars~1.1k tokensUpdated 3 mo ago
    Auto-check: notes

Questions about Panel

What does Panel do?

Launch or prepare the optional local visual panel for AK-Threads-Booster. Panel is an agent skill from akseolabs-seo/AK-Threads-booster. Launch or prepare the optional local visual panel for AK-Threads-Booster.

When should I use Panel?

Panel fits situations like: the user asks for a dashboard; quick way to view tracker/compiled data.

How do I install Panel in Claude Code?

Run `npx skills add akseolabs-seo/AK-Threads-booster --skill panel -a claude-code`. Or copy the skill folder (skills/panel in akseolabs-seo/AK-Threads-booster) into .claude/skills/panel in your project. Claude Code loads it when a task matches its description.

How do I install Panel in Codex?

Run `npx skills add akseolabs-seo/AK-Threads-booster --skill panel -a codex`. Or copy the skill folder (skills/panel in akseolabs-seo/AK-Threads-booster) into .agents/skills/panel in your project. Codex loads it when a task matches its description.

Can I use Panel 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 akseolabs-seo/AK-Threads-booster --skill panel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/panel, .gemini/skills/panel, .github/skills/panel and .opencode/skills/panel in your project.

What does Panel need to run?

Going by SKILL.md and its folder, Panel needs the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash, Glob.

Does Panel 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 Panel safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Panel use?

Panel 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 Panel use?

About 873 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Panel?

Skills that share tags, products or a category with Panel: Social (coreyhaines31/marketingskills, 54k stars), Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars) and JavaScript Concept Fact Checker (leonardomso/33-js-concepts, 67k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Panel?

akseolabs-seo (a GitHub user) maintains it in akseolabs-seo/AK-Threads-booster, which has 275 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on July 3, 2026.

Source: akseolabs-seo/AK-Threads-booster on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.