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Agent skill

Deepchat Sdd Cleanup

by ThinkInAIXYZ in ThinkInAIXYZ/deepchat

Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation.

Apache-2.0Auto-check passedAgent Workflows

Install Deepchat Sdd Cleanup

skills CLI
$ npx skills add ThinkInAIXYZ/deepchat --skill deepchat-sdd-cleanup -a claude-code

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

GitHub CLI
$ gh skill install ThinkInAIXYZ/deepchat deepchat-sdd-cleanup --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/ThinkInAIXYZ/deepchat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/deepchat-sdd-cleanup .claude/skills/deepchat-sdd-cleanup && 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
deepchat-sdd-cleanup
GitHub stars
6.4k
Token cost
~788 tokens
SKILL.md length
343 words
Files
2
Skills in repo
15
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation.

  • Works in 5 steps: Inspect docs/spec-driven-dev.md,… → Inventory docs/features, docs/issues,… → Prefer parallel sub-agent review when… → …
  • Agent Workflows work in your project
  • SKILL.md covers Rule, Workflow, Cleanup Rules and GitHub Checks, plus 2 more sections
  • Calls git, gh and rg

What it does

Deepchat Sdd Cleanup is an agent skill from ThinkInAIXYZ/deepchat. Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation. Scans docs/features, docs/issues, and docs/architecture; prefers multi-agent review when available; removes completed issue docs when a linked GitHub issue is closed or implementation and validation evidence proves the bug no longer exists, drops stale plans and legacy task files from completed feature or architecture goals, and deletes obsolete feature or architecture docs.

Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows. It works with GitHub and OpenAI. The repository describes itself as: 🐬DeepChat - A smart assistant that connects powerful AI to your personal world. The licence is Apache-2.0.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/deepchat-sdd-cleanup”

Workflow steps

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

  1. Inspect docs/spec-driven-dev.md, docs/README.md, and git status.
  2. Inventory docs/features, docs/issues, and docs/architecture with find or rg.
  3. Prefer parallel sub-agent review when available
  4. Apply only changes with clear evidence. Keep a concise keep/delete/update list for handoff.
  5. Validate references after edits.

What it can do on your machine

Read from SKILL.md and the folder at commit b79c1b0. 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

    Shell commands in SKILL.md call:

    • git
    • gh
    • rg

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

  • Network

    No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.

    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

Deepchat Sdd Cleanup loads about 788 tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 343 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~788

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 ThinkInAIXYZ/deepchat at commit b79c1b0, republished under its Apache-2.0 licence (© ThinkInAIXYZ). 343 words, ~788 tokens.

Download SKILL.mdSave it as .claude/skills/deepchat-sdd-cleanup/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
deepchat-sdd-cleanup
description
Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation. Scans docs/features, docs/issues, and docs/architecture; prefers multi-agent review when available; removes completed issue docs when a linked GitHub issue is closed or implementation and validation evidence proves the bug no longer exists, drops stale plans and legacy task files from completed feature or architecture goals, and deletes obsolete feature or architecture docs.

DeepChat SDD Cleanup

Rule

Run this skill only when the developer explicitly asks for SDD cleanup, documentation tidying, pruning, or removal of completed/stale SDD files. Do not run it as an automatic final step of ordinary feature, bug, architecture, or release work.

Workflow

  1. Inspect docs/spec-driven-dev.md, docs/README.md, and git status.
  2. Inventory docs/features, docs/issues, and docs/architecture with find or rg.
  3. Prefer parallel sub-agent review when available:
    • one pass for docs/features
    • one pass for docs/issues
    • one pass for docs/architecture
    • optional verifier pass over proposed deletes
  4. Apply only changes with clear evidence. Keep a concise keep/delete/update list for handoff.
  5. Validate references after edits.

Cleanup Rules

  • Completed feature or architecture goal: delete plan.md and any legacy tasks.md; keep spec.md only when it still defines a maintained contract, regression guard, platform policy, or architecture decision.
  • Completed issue goal: delete the issue folder when a linked GitHub issue is closed or the implementation and validation evidence prove the bug no longer exists.
  • Removed feature: delete its folder when the product/code path is gone and the spec has no reusable decision record.
  • Obsolete architecture: delete its folder when the module was fully replaced and the doc no longer describes a maintained boundary; otherwise update the spec.
  • Historical feature spec affected by an architecture refactor: update the retained spec instead of leaving contradictory docs.

GitHub Checks

Use gh only when it is installed and authenticated. For linked issue docs, verify closure with gh issue view <number> --json state,url,title when possible. If gh is unavailable, do not delete solely because a GitHub link looks old.

Never Delete

  • Active work with unchecked plan.md steps or legacy tasks.
  • Any document containing unresolved [NEEDS CLARIFICATION].
  • A document referenced by docs/README.md, docs/ARCHITECTURE.md, docs/FLOWS.md, or AGENTS instructions unless the reference is updated in the same change.
  • Runtime baselines or machine-read files unless the cleanup request explicitly covers them.

Validation

  • Run rg -n "plan.md|tasks.md|docs/archives|NEEDS CLARIFICATION" docs AGENTS.md .agents/skills and inspect any stale policy references.
  • Run git status --short.
  • For Markdown-only cleanup, formatting/lint commands are optional unless repository instructions or touched generated files require them.

© ThinkInAIXYZ, Apache-2.0. 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 1 other file in .agents/skills/deepchat-sdd-cleanup of ThinkInAIXYZ/deepchat.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit b79c1b0

Compare with similar skills

Deepchat Sdd Cleanup 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.

Deepchat Sdd Cleanup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deepchat Sdd Cleanup this skillThinkInAIXYZ/deepchat6.4k—~788Automated safety check: PassApache-2.0
MCP Apps Builderawslabs/cli-agent-orchestrator1.4k—~1.7kAutomated safety check: PassApache-2.0
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Codexless Release Supervisorliyana31811/Codexless118—~2.4kAutomated safety check: PassApache-2.0
Plugin Importuvwt/agentdock1.2k—~839Automated safety check: PassApache-2.0
Sync Agentthun-res/vlink116—~893Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Deepchat Sdd Cleanup

What does Deepchat Sdd Cleanup do?

Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation. Deepchat Sdd Cleanup is an agent skill from ThinkInAIXYZ/deepchat. Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation.

When should I use Deepchat Sdd Cleanup?

Deepchat Sdd Cleanup fits situations like: agent Workflows work in your project.

How do I install Deepchat Sdd Cleanup in Claude Code?

Run `npx skills add ThinkInAIXYZ/deepchat --skill deepchat-sdd-cleanup -a claude-code`. Or copy the skill folder (.agents/skills/deepchat-sdd-cleanup in ThinkInAIXYZ/deepchat) into .claude/skills/deepchat-sdd-cleanup in your project. Claude Code loads it when a task matches its description.

How do I install Deepchat Sdd Cleanup in Codex?

Run `npx skills add ThinkInAIXYZ/deepchat --skill deepchat-sdd-cleanup -a codex`. Or copy the skill folder (.agents/skills/deepchat-sdd-cleanup in ThinkInAIXYZ/deepchat) into .agents/skills/deepchat-sdd-cleanup in your project. Codex loads it when a task matches its description.

Can I use Deepchat Sdd Cleanup 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 ThinkInAIXYZ/deepchat --skill deepchat-sdd-cleanup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepchat-sdd-cleanup, .gemini/skills/deepchat-sdd-cleanup, .github/skills/deepchat-sdd-cleanup and .opencode/skills/deepchat-sdd-cleanup in your project.

What does Deepchat Sdd Cleanup need to run?

Going by SKILL.md and its folder, Deepchat Sdd Cleanup needs the command-line tools its instructions call (git, gh and rg).

Does Deepchat Sdd Cleanup access the network?

SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Deepchat Sdd Cleanup 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 Deepchat Sdd Cleanup use?

Deepchat Sdd Cleanup is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deepchat Sdd Cleanup use?

About 788 tokens (SKILL.md is roughly 3.2k 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 Deepchat Sdd Cleanup?

Skills that share tags, products or a category with Deepchat Sdd Cleanup: MCP Apps Builder (awslabs/cli-agent-orchestrator, 1.4k stars), Skills Constitution (jiabaobei/skills-constitution, 232 stars), Codexless Release Supervisor (liyana31811/Codexless, 118 stars) and Plugin Import (uvwt/agentdock, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepchat Sdd Cleanup?

ThinkInAIXYZ (a GitHub organization) maintains it in ThinkInAIXYZ/deepchat, which has 6,358 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 10, 2026.

Source: ThinkInAIXYZ/deepchat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.