Vibe-Skills deepagent-toolchain-plan

DeepAgent-style tool discovery for VCO: propose a minimal skill/tool chain (with verification points) and reduce confirm_required friction.

install
source · Clone the upstream repo
git clone https://github.com/foryourhealth111-pixel/Vibe-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/foryourhealth111-pixel/Vibe-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/bundled/skills/deepagent-toolchain-plan" ~/.claude/skills/foryourhealth111-pixel-vibe-skills-deepagent-toolchain-plan && rm -rf "$T"
manifest: bundled/skills/deepagent-toolchain-plan/SKILL.md
source content

DeepAgent Toolchain Plan (VCO)

When to use

Use this skill when:

  • VCO router returns
    route_mode=confirm_required
    and you want a better, evidence-backed choice
  • The task spans multiple domains/tools and you need a skill chain, not a single skill
  • The user asks “用什么工具/技能最好?” / “怎么编排这套技能?”
  • The conversation is long or messy and you need to re-anchor on goal → toolchain → verification

Non-goals (avoid redundancy)

  • This is not a replacement for VCO routing. It is an augmentation that proposes a chain.
  • This is not GitNexus. For code dependency/impact, use GitNexus overlays.
  • This does not introduce long-term episodic memory (VCO governance disables it).

Runtime (Upstream vendoring)

DeepAgent upstream is vendored for reference / optional advanced runs:

  • C:\Users\羽裳\.codex\_external\ruc-nlpir\DeepAgent\

VCO-managed runtime config and self-check scripts (no secrets stored/printed):

  • C:\Users\羽裳\.codex\skills\vibe\config\ruc-nlpir-runtime.json
  • pwsh C:\Users\羽裳\.codex\skills\vibe\scripts\ruc-nlpir\preflight.ps1

Core output (must)

Return a toolchain with:

  1. Goal + deliverable (1–2 lines)
  2. Chain steps (3–8 steps, each: skill/tool + why + expected artifact)
  3. Verification points (at least 1 falsifiable check)
  4. Fallbacks (what to do if a tool is unavailable)

Workflow

Step 1: Capture the task in a contract

  • Goal (one sentence)
  • Deliverable (code / plan / report / dataset / etc.)
  • Constraints (time, no heavy deps, offline-only, etc.)

Step 2: Ask VCO router for a white-box view (recommended)

Run the router script in probe mode to get candidates + overlays in a machine-readable form:

  • pwsh C:\Users\羽裳\.codex\skills\vibe\scripts\router\resolve-pack-route.ps1 -Prompt "<PROMPT>" -Grade L -TaskType planning -Probe -ProbeLabel "toolchain" -ProbeOutputDir outputs/runtime/router-probes

Then use the emitted

confirm_ui
+ overlay advice to decide the chain.

Step 3: Build a minimal chain (DeepAgent principle)

Prefer a chain that:

  • Starts with evidence acquisition (local docs / web / code graph)
  • Then planning
  • Then execution
  • Ends with verification + review

Step 4: Guardrails

  • If the chain requires web browsing, explicitly choose between:
    • web.run
      (fast structured browse)
    • playwright
      /
      turix-cua
      (dynamic/interactive)
  • If the chain requires heavy model hosting (vLLM), provide a Lite alternative.

Suggested chains (templates)

A) “Research → report”

  1. webthinker-deep-research
    (Lite) →
    outputs/webthinker/.../report.md
  2. flashrag-evidence
    (local protocol checks) → citeable snippets
  3. code-reviewer
    (if code changes) or
    verification-quality-assurance
    (if routing changes)

B) “VCO enhancement work (config/skills)”

  1. flashrag-evidence
    (locate existing policy/overlays)
  2. writing-plans
    (implementation plan with file paths + verify steps)
  3. verification-before-completion
    (run check + router probe)