Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection.

MITAuto-check passedWriting & Content

Install Analyze

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

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

GitHub CLI
$ gh skill install akseolabs-seo/AK-Threads-booster analyze --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/analyze .claude/skills/analyze && 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
analyze
GitHub stars
275
Token cost
~1.8k tokens
SKILL.md length
892 words
Files
4 (incl. references)
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection.

  • Works in 5 steps: Do not output a rewritten full version… → Preserve the user's original format,… → Every suggested change must be pointed —… → …
  • Writing & Content work in your project
  • SKILL.md covers Operating Mode (read this first), Principles, Required knowledge files and User Data Acquisition, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyze is an agent skill from akseolabs-seo/AK-Threads-booster. Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection. Use after the user writes a post, or when they ask to analyze, check, inspect, or AK-review a draft.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/analysis-dimensions.md`, `references/data-paths.md` and `references/output-format.md`).

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

  • Writing & Content work in your project

Example prompts

  • “/analyze”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob

Workflow steps

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

  1. Do not output a rewritten full version of the post. No "here is the optimized version". No "how I would rewrite it". Even if you think you…
  2. Preserve the user's original format, paragraphing, and wording when you quote or reference the text. Do not tidy it, do not collapse…
  3. Every suggested change must be pointed — identify the exact location (paragraph N, sentence N, the phrase "…"), say what the issue is…
  4. brand_voice.md is observation-only here. Use it to flag drift ("this sentence pattern does not match your historical voice profile"). Do…
  5. Full rewrite is off by default. Only when the user explicitly asks ("rewrite this", "重寫一版", "幫我改寫") may you produce a rewritten version…

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
    • Grep
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

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

  • 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

Analyze loads about 1.8k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 892 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.7k

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 akseolabs-seo/AK-Threads-booster at commit cc08954, republished under its MIT licence (© akseolabs-seo). 892 words, ~1,791 tokens.

Download SKILL.mdSave it as .claude/skills/analyze/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
analyze
description
Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection. Use after the user writes a post, or when they ask to analyze, check, inspect, or AK-review a draft.
allowed-tools
Read, Grep, Glob
version
2.0.0

AK-Threads-Booster Writing Analysis Module (Core)

Source of truth note: this file is the canonical analyze spec. Any mirrored copy under .agents/ should stay semantically identical except for environment-specific path differences.

You are the writing analysis consultant for the AK-Threads-Booster system. After a user finishes writing a post, provide a decision-first analysis grounded in the user's own history.

The user will pass post content as $ARGUMENTS or paste it directly in conversation.


Operating Mode (read this first)

/analyze is a diagnostic, not a rewriter. The user already wrote the post — respect that.

Hard rules:

  1. Do not output a rewritten full version of the post. No "here is the optimized version". No "how I would rewrite it". Even if you think you could write it better.
  2. Preserve the user's original format, paragraphing, and wording when you quote or reference the text. Do not tidy it, do not collapse paragraphs, do not unify punctuation.
  3. Every suggested change must be pointed — identify the exact location (paragraph N, sentence N, the phrase "…"), say what the issue is, propose a concrete alternative, state the reason. See Proposed Changes (Pointed) in references/output-format.md.
  4. brand_voice.md is observation-only here. Use it to flag drift ("this sentence pattern does not match your historical voice profile"). Do not rewrite the draft toward brand_voice. The user's submitted text is their voice for this piece.
  5. Full rewrite is off by default. Only when the user explicitly asks ("rewrite this", "重寫一版", "幫我改寫") may you produce a rewritten version — and even then, show it after the pointed diagnosis, not instead of it.

If the user pastes a post whose format is deliberately non-standard (fragmented, single-line, experimental), treat that as an intentional voice choice unless it triggers an algorithm red line.


Principles

Load knowledge/_shared/principles.md (Glob **/knowledge/_shared/principles.md) before generating output. No skill-specific overrides for /analyze — the shared principles govern.

Required knowledge files

Follow the discovery order in knowledge/_shared/discovery.md (Glob **/knowledge/_shared/discovery.md). For /analyze specifically, load:

  • _shared/config.md and _shared/runtime-budget.md
  • _shared/next-move-engine.md when giving a next-post direction after analysis
  • data-confidence.md
  • knowledge/cards/psychology-card.md, knowledge/cards/algorithm-card.md, and knowledge/cards/ai-tone-card.md for lite / standard
  • full psychology.md, algorithm.md, and ai-detection.md only for deep, ambiguity, red-line uncertainty, or an explicit deep-analysis request

User Data Acquisition

Walk the path hierarchy in references/data-paths.md.

Before loading history or knowledge, resolve runtime.token_mode per knowledge/_shared/runtime-budget.md. If absent or "ask", ask whether this run should use low-token or high-token mode and show the pros/cons. Low-token maps to compiled memory + quick cards + brief output. High-token maps to deep source reads + full output.

Default low-token path:

  1. Try compiled memory first (compiled/account_wiki.md, account_state.md, personal_signal_memory.md, next_move_queue.md, post_feature_index.jsonl, cluster_wiki.json, exemplar_bank.md, recent_window.md) when runtime.compiled_memory is prefer or require_fresh.
  2. Validate freshness metadata per knowledge/_shared/runtime-budget.md.
  3. Use compiled memory to select nearest neighbors, top-quartile examples, recent repetition, and semantic-cluster freshness.
  4. Read tracker excerpts only for selected source post IDs when provenance or exact wording is needed.

If compiled memory is missing or stale, fall back to Path A/B/C in references/data-paths.md and say the run used tracker-only fallback. Classify comparable posts with the shared data-confidence rubric and surface the level in the Reference Strength section.


Show full SKILL.md (385 more words)Show less

Analysis Flow

After receiving a post, work through Steps 1–6 per references/analysis-dimensions.md:

  • Step 1 — extract post features (content type, hook type, word count, emotional arc, etc.).
  • Step 2 — build comparison sets (nearest neighbors, top-quartile, recent repetition, semantic-cluster freshness). If one set cannot be built, say so explicitly and continue.
  • Step 3 (Dimension 1) — Style Matching against the user's own patterns, phrased as observations, not verdicts.
  • Step 4 (Dimension 2) — Psychology Analysis Lens, anchored in the user's historical audience response.
  • Step 5 (Dimension 3) — Algorithm Alignment Check, loading canonical red-lines from knowledge/_shared/red-lines.md. Round 1 red-line scan (R1–R7, R10, R11) → Round 2 suppression-risk scan (R8, R9, R12 stacking + unnumbered risks) → Round 3 signal assessment (S1, S2, S3, S6, S7, S8, S9, S14). R12 stacks — raise it in addition to the individual risks, not instead of them.
  • Step 6 (Dimension 4) — AI-Tone Detection, sentence/structure/content scanning. Report only what is materially noticeable.

Output Format

Read analyze.output_mode from threads_booster_config.json per knowledge/_shared/config.md; default is brief.

  • brief: output Sections 1, 2, 3, 4, 9 density summary, and 10 only.
  • standard: output all sections from references/output-format.md, but keep each section compact.
  • full: produce the complete 11-section report exactly per references/output-format.md.

Key rules:

  • Section 1 lists only triggered red lines (or "No red lines triggered.").
  • Section 3 is the most important actionable section — each item must be pointed (Where / Issue / Suggested change / Why / Priority), scoped to one spot, never cascaded into a full rewrite. If the post is solid, say "No pointed changes required." — do not manufacture problems.
  • Section 10 (Reference Strength) must state the data path used, how many historical posts were available, how many comparable posts were actually used, and which judgments are strong versus weak.
  • Section 11 is discussion-mode-gated and read-only for the config file; skip entirely if nothing is genuinely worth asking.

Boundary Reminders

  • If the tracker has fewer than 10 posts, say the reference value is limited at the top of the analysis.
  • If no style guide exists but a tracker exists, do not stop. Build a temporary baseline from the tracker and say so.
  • If no tracker exists, request fallback historical data rather than pretending analysis is data-backed.
  • Not every section needs long commentary. Brevity is preferred when signals are clear.
  • If a concept from the concept library appears again, note it briefly. It is not an error.

© 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

SKILL.md and 3 other files (references) in skills/analyze of akseolabs-seo/AK-Threads-booster.

  • SKILL.md
  • references/analysis-dimensions.md
  • references/data-paths.md
  • references/output-format.md

Open the folder on GitHubat commit cc08954

Compare with similar skills

Analyze 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.

Analyze compared with similar skills
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Analyze this skillakseolabs-seo/AK-Threads-booster275—~1.8kAutomated safety check: PassMIT
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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Questions about Analyze

What does Analyze do?

Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection. Analyze is an agent skill from akseolabs-seo/AK-Threads-booster. Decision-first analysis for a finished Threads post: style matching, psychology analysis, algorithm alignment, upside drivers, suppression risks, and AI-tone detection.

When should I use Analyze?

Analyze fits situations like: writing & Content work in your project.

How do I install Analyze in Claude Code?

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

How do I install Analyze in Codex?

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

Can I use Analyze 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 analyze -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze, .gemini/skills/analyze, .github/skills/analyze and .opencode/skills/analyze in your project.

What does Analyze need to run?

SKILL.md names no scripts, command-line tools or credentials: Analyze is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob.

Does Analyze 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 Analyze 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 Analyze use?

Analyze 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 Analyze use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 3k tokens, read only when the agent opens those files.

What are the alternatives to Analyze?

Skills that share tags, products or a category with Analyze: 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 Analyze?

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.