Plugins

Superpowers skills for the DeepSeek Harness (dsh): a full engineering methodology served through dsh's own filesystem skill provider, with an always-on bootstrap.

Set the provider, model and reasoning effort delegated subagents run with, from one chip beside the composer: a per-conversation override and a profile-wide default share the same two controls, and the chip always shows the effective route. Applied when each in-process child is created (agent/created + agent.model.select()); no settings page, no preset edits, no model-facing tool parameters.

Stop or permanently delete DeepSeek Harness sessions from the sidebar session menu: cancels running turns, subagents, background jobs and reminders, then removes the log, subagent session logs, projection cache and workspace record, with an optional clean

Subagent bridge: lets Codex delegate a task to DeepSeek Harness the way it would spawn a subagent (one call, waits for the answer), plus a codex_dispatch tool for the reverse direction.

Permanently deletes a session from the sidebar, waiting for a running turn to stop and cascading to its subagent sessions.

Token usage dashboard in the DeepSeek Harness sidebar: daily totals from session logs with a 12-month heatmap, per-provider breakdown over today/7d/30d/all (hourly for today) including each route's average output speed, and a per-session ranking that includes archived and deleted sessions and folds subagent usage into its parent.

Token usage dashboard and per-session tree statistics: provides time-range filtering, 6 summary metric cards, GitHub-style activity heatmap, model stacked-bar charts with cache hit rate curves, and Top-5 model/provider rankings; enhances the native session status bar to display aggregated token usage across main agents and all subagents with detailed breakdowns.

Edge-style tab groups for the DSH sidebar on Web and Desktop, with nested groups up to three levels, workspace tree, single-list view, recursive sorting, RGB colors, collapsed status summaries, subagent expansion with status, and an approval-gated agent tool for organizing groups.

Runs the local Cursor CLI as a child coding agent from DSH - a `cursor_code` tool plus the native one-shot `cursor_subagent` tool, one mirrored DSH sub-session per run, per-task model choice, resumable conversations, a step timeline with real file diffs, and a usage, model and session panel.

Agent preset: one session runs a three-phase auto-development pipeline — interactive design with parallel research subagents, goal-driven development with reviewer/developer subagents and per-package budget ledgers, then an acceptance fix loop.

Memory-assembly team for DeepSeek Harness: every message triggers a five-step cognition loop (judge, retrieve, assemble, feedback, calibrate) carried by role-playing subagents (judge, retriever, archivist, advocate, editor, scribe), using BM25 retrieval, time-ordered material, and LLM assembly to build useful material packs injected into linghun. Works with dsh-linghun.

Prompt library stored in the plugin config, with a Settings page and a composer picker: the ticked prompts are injected into every model step of that session, and a subagent inherits the selection of its nearest ancestor session.

Closes ai-memory's consolidation loop for DSH: when a DSH session ends it calls ai-memory finalize-session, so the observations DSH captured become wiki pages the other harnesses ai-memory serves can read. Skips subagents, queues concurrent session ends, and sweeps sessions abandoned by a forced restart.

Task monitor plus remote chat for DeepSeek Harness. Read sessions, background jobs, subagents, goal rounds, workflows and pending approvals from a phone-friendly page, and talk to any session from it: streamed replies, tool-call progress, stop at any time, switch sessions and models. Also ships a GUI sidebar panel.

Top-right status plate for six session states (complete, error, approval, question, unopenable, subagent), plus an OS notification when you are away.

Voice or sound cue when a turn finishes and a failure cue when a tool call or turn errors; user aborts stay silent and subagent sessions are skipped by default. Three modes: voice (Volcengine TTS with cloned or preset voices, fingerprint reuse so unchanged text is not re-synthesised), effects (20 built-in sounds assignable to done, fail and approval, with per-row preview and no API key; the approval slot has no automatic trigger, so it plays only manually) and off. Plays through winmm without touching system volume. Windows only. Adapts DSH kernel 0.2.2-rc.1.

Fork companion for DSH: on any official fork, copies every direct subagent child of the source session onto the forked conversation (recursively, whole subtrees) through the official agent API, leaving each copy as a cold session the official resume path can wake — so the new conversation keeps its subagent panel and can keep messaging those children, while the originals stay with the old branch.

Team cost captain: meters every model call (subagents included), attributes each call to a member by workspace rules, prices it with the built-in DeepSeek 2026-09 catalog (peak/off-peak, CNY/USD) or user overrides, and appends it to a local JSONL ledger. Adds hot-reloadable member budgets, 80%/100% webhook alerts, optional over-budget enforcement, a team_cost_report tool with CSV export, and a settings-page team dashboard served over a Typert RPC service.

Answers hard questions by staging a formal debate: two adversarial subagents argue opposite sides with research, then the main agent rules on the transcript through the debate_open, debate_round, and debate_verdict tools.

Adds a Graph tab that renders one session's execution as an interactive DAG of turns, LLM steps, tools, skills, subagents, code changes and tests, with live status, retry aggregation, critical path and trajectory linkage.

Registers a /code-review slash command with five parallel review lenses and per-finding confidence scoring, for both pull requests and local code.

Configure default model routes for DeepSeek Harness subagents, with single-model, round-robin, random, and per-route reasoning-effort options.

Use AItelier as a subagent from DeepSeek Harness: generate, edit, run, export and import SkillFlow pipelines. Client only — requires a running AItelier backend (Docker; see README).

Reusable subagent definitions managed from a Settings page and dispatched through a single delegate_agent tool; ships with a built-in read-only Explorer preset and a nested-delegation policy toggle.