プラグイン

Web GUIで分岐式surveyを作成。ask_survey toolの選択肢別routing、hover時のinsight、Mermaid diagram、ワンクリック回答template、中断後に再開できる保存済みprogressを備えます。

DeepSeek Harness向けラボ/プロジェクト進捗管理。16個のprogress_* agentツール（項目CRUD、日次ボード、日報、全体検索、概要、ガント、コメント、入出力）と、元のWeb UIを表示するbetter-sidebar内「进度」タブを追加。データはセッションのプロジェクト内 `.progress/progress.json` に保存。

会話の進捗をTencent IMA（デイリーノート＋Workナレッジベース）へ自動アップロード。ローカルのClaude Code ima-uploadワークフローに相当。

単体の DSH プラグインに読み取り専用のライフサイクルガバナンスツール 21 個を収録します。タスク分類、状態／計画／証拠の検証、ゲートの事前確認と集約、リリース／インストール監査、コンテキスト／進捗分析、クリティカルパス、再開時の整合、実行を常に拒否する変更プレビューを提供。npm から `@240xu/dsh-tech-lead` としてインストールできます。

DSH Web GUI の分岐式アンケート。`ask_survey` は選択肢別ルーティング、ホバー時の情報、Mermaid 図、ワンクリック回答テンプレート、中断後に再開できる保存済み進捗に対応します。

DeepSeek Harness 用マルチエージェントダッシュボードスキル — ステータスレポート、タスク追跡、進捗可視化

ドラッグ可能なクジラのコンパニオン。ローカル進行度、実績、スキン、プライバシーに配慮したアクティビティ計測を備えます。

DeepSeek Harness 向けの個人簿記：支出・収入の記録（単件／一括）、一覧、推移付きの月次／年次統計、進捗と超過アラート付き予算、論理削除からの復元、CSV と自己完結型 HTML レポート。依存ゼロ、ローカル JSON。

DeepSeek Harness 向け S3、FDS、FTP ファイルツール：8 つのエージェントツール（list、stat、mkdir、delete、move、copy、download、upload）— 承認ゲート付き変更、進捗・キャンセル可能な転送ジョブ。

dsh Web GUI 向け Rick and Morty：3 種ルックススキン（C-137 ポータルグリーン／ラボコート／ミーシークスブルー）＋6 キャラクター、バイリンガル台詞、エージェント駆動ムード、コンボなで、なで進行パネル付きデスクトップペットコンパニオン。

ヘッドレス dsh タスクのリアルタイムな段階・ETA・コストのダッシュボード：ブラックボックスなセッションイベントストリームをライブのマルチタスクグリッドに変えます（cordis プラグイン＋単体のローカルダッシュボード、API 呼び出しなし）。

エージェントごとのオンデマンドなツール検出と、段階的なスキーマ開示。

A five-stage engineering loop for agent-built projects — spec, build, verify, ship, learn — with one artifact and one gate per phase, so an agent always knows the single next action. Role policy, project templates and deployment sit behind explicit ports: swap the implementation without rewriting the loop. Its scaffold generator lays out the internal layers of a project — `init --layout {none,webapp,service,plugin} --stack {python,node,none}` — from nine layers sampled out of three unrelated production projects: entry docs, an OpenSpec plan face, a spec truth layer (INDEX, one file per domain, TESTING, CONSTITUTION), a wiki split into knowledge / progress / runbook, the six `.agents/` slots, server+web, scripts/deploy/config, tests+e2e and a gitignored out/. Non-none layouts also gate the directory contract and compile every source root. Ships a Python CLI (init/next/check/ship/new) plus a local command adapter and an SSH/systemd adapter with release directories, an atomic current/previous switch, a deploy lock, a commit-versioned JSON probe and automatic rollback on a failed probe; bootstrap and teardown provision and remove the unit and the reverse-proxy block idempotently and refuse to delete a root they did not create. Includes a runnable example workspace and a skill that keeps the agent on one phase at a time. Requires Python 3.10+ and PyYAML; remote deploys need SSH access, rsync, systemd and Caddy on the target.

Runs Hindsight long-term memory on your own machine: after a one-time uvx --from hindsight-embed@latest hindsight-embed profile create server setup (~450 MB of Python dependencies) and with your own LLM key, the plugin manages the local memory server itself (health probe, start, stop, logs), registers ten hindsight_local_* tools for status, page search, page read, recall, remember and reflect, injects a knowledge-page index once per session, writes each finished turn back into the bank, and extracts facts with your own LLM key. Do not enable it alongside the official @vectorize-io/hindsight-coding-agents plugin: both read the same bank and would inject duplicate context. At session end it writes a handoff snapshot that the next session injects as previous progress. The data directory is configurable (dataDir) and scripts/relocate.mjs moves an existing install to another drive, creating directory junctions where the server hard-codes its paths.

PTC agent preset whose tools.guard refuses tool calls until the session holds an active goal and an in-progress todo.

Makes the agent narrate progress during long tool chains instead of staying silent until the final answer: a standing system-prompt rule that travels with every request, plus a notice injected after every N tool calls. A panel on the plugin page tunes the cadence, the reminder budget, and both texts; changes apply live.

A countdown pill under the message composer showing how long is left before you clock off, with a workday progress bar; click it to set your own start and end times (saved in this browser), and after the end time it turns into an overtime timer.

Page-level startup splash: a Penrose triangle light sweep over a living isometric diamond ocean, where the frame itself is the progress gauge, paced by the intro but capped by real DSH boot milestones. Any bare key skips it, ten palettes come from Monument Valley and Geometric Islands, and when the intro ends the triangle stays on as a small mark beside the composer that reflects what the agent is doing.

An enhanced fork of PC2005-cloud/dsh-pet (do not install it alongside the upstream dsh-pet): a desktop pet for DSH with schedule reminders, approval and question bubbles you can answer in place, a 20-entry history ledger, double-click corner cycling, a configurable data directory, a step/elapsed progress line, snooze and one-hour mute, a right-click menu whose order and hidden items you can edit in settings (chat first by default), and a task-queue progress bar inside the work bubble.

Counts the assistant rounds that call tools without writing anything to the user, then inserts a short progress reminder as a visible user message at the next model-request boundary, so a long silent tool loop reports what it has done before continuing. A Settings page adjusts the silence threshold (default 10), the reminder wording, the language (en / zh-CN / zh-TW), whether the reminder repeats every further threshold of silent rounds, whether subagent sessions are counted, and whether Agent Teams nudges the lead only or every member.

A draggable square-cake mascot that runs while a turn is in progress, sleeps when it finishes, and gets angry on errors.

Bilibili music player for the DSH composer dock: import your Bilibili login cookie and a listening-profile JSON for profile-based recommendation with like/skip/dislike feedback and 192k playback; without a profile it falls back to genre-based online search and progressive playback.

Daily check-in for Nanjing Forestry University's ACM AI Hub plus seat booking for its library — both site addresses are hardcoded — with a settings page and a progress badge; built for DeepSeek Harness Mobile (DSHM) on Android.