Skill: Pace

SkillAI & models

Change how visibly Claude surfaces analytical work during L3+ analyses. Three modes — guided (announce each phase and pause for /continue), narrated (announce each phase and run end-to-end), autopilot (silent end-to-end, final output only). Use this skill whenever the user invokes `/pace`, `/pace guided`, `/pace narrated`, `/pace autopilot`, or says things like "slow down and walk me through", "pause between steps", "just run it silently", "narrate each step", "don't stop to ask me", "stop narrating". Pace is orthogonal to complexity level — it changes surfacing, not which agents run. Full spec and phase-banner format live in the question-router skill. This skill is the write-side: it persists the user's explicit pace choice to `working/session_state.yaml` so it survives across phases, across `/resume-pipeline`, and across sessions.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Skill: Pace skill

What this skill tells your AI

The instructions your AI receives, as published by ai-analyst-lab/ai-analyst in .claude/skills/pace/SKILL.md and read by ahel’s review.

Purpose

Persist the user's explicit choice of pace mode — how visibly the analytical machinery surfaces during L3+ analyses. Pace is orthogonal to complexity level (L1–L5). Level decides which agents run; pace decides how visible the work is.

Modes

ModeBehavior
guidedAnnounce each phase, run it, pause and wait for /continue before the next phase
narratedAnnounce each phase, run it, announce the result, continue to the next phase without pausing (the safe default)
autopilotSilent end-to-end. No phase banners. The final message is the user's first look at the work: open with the outcome, then findings, then what is next, written for a reader who saw none of the run.

Invocation

The user types one of:

  • /pace guided
  • /pace narrated
  • /pace autopilot
  • /pace (no argument) — show the current mode and the three options
  • Natural language: "slow down, pause between steps" → guided; "just run it silently" → autopilot; "narrate but don't stop" → narrated

Behavior

  1. Resolve the target mode. If the argument is one of guided|narrated|autopilot, use it. If no argument, print the current mode (read from working/session_state.yamlpace_mode) and the three options. Stop.
  2. Validate. If the argument is anything else, echo the three valid modes and ask which one the user wants. Do NOT guess or silently fall back.
  3. Read existing state. Load working/session_state.yaml if it exists; otherwise start with an empty dict. Preserve every other key.
  4. Write atomically. Write the updated YAML to working/session_state.yaml.tmp, then rename to working/session_state.yaml. This prevents corruption if the process is interrupted mid-write.
  5. Confirm to the user. One line:
    • guided → "Pace set to guided. I'll pause after each phase and wait for /continue."
    • narrated → "Pace set to narrated. I'll announce each phase and run end-to-end."
    • autopilot → "Pace set to autopilot. I'll run silently and show you the final output."
  6. Apply on next phase boundary. If an analysis is already in flight, the new mode takes effect starting with the next phase. Tell the user so. Never switch mid-phase — it produces inconsistent banner state.

Failure Handling

  • Write fails (permissions, disk full, working/ missing): honor the mode in the current session in memory and warn: "Pace set to {mode} for this session, but I couldn't write working/session_state.yaml ({reason}). Run /pace {mode} again after resume to restore it."
  • YAML parse fails on existing file: back up the broken file to working/session_state.yaml.broken-{timestamp}, write a fresh one with just pace_mode, and tell the user. Never overwrite without backing up.
  • No working/ directory: create it (mkdir -p working), then proceed.

Implementation

Use Python for atomic write and YAML safety. Keep it minimal:

import yaml, os, pathlib, datetime

STATE_PATH = pathlib.Path("working/session_state.yaml")

def set_pace(mode: str) -> tuple[bool, str]:
    assert mode in {"guided", "narrated", "autopilot"}
    STATE_PATH.parent.mkdir(parents=True, exist_ok=True)

    state = {}
    if STATE_PATH.exists():
        try:
            state = yaml.safe_load(STATE_PATH.read_text()) or {}
        except yaml.YAMLError:
            bak = STATE_PATH.with_suffix(
                f".yaml.broken-{datetime.datetime.now().strftime('%Y%m%dT%H%M%S')}"
            )
            STATE_PATH.rename(bak)
            state = {}

    state["pace_mode"] = mode
    tmp = STATE_PATH.with_suffix(".yaml.tmp")
    try:
        tmp.write_text(yaml.safe_dump(state, sort_keys=False))
        os.replace(tmp, STATE_PATH)
        return True, ""
    except OSError as e:
        return False, str(e)

Edge Cases

  • Mid-phase invocation: honor at next phase boundary, not immediately. Tell the user.
  • No L3+ analysis running: still persist the mode. It applies to the next one.
  • User types /pace during a guided pause: show current mode + options, do not consume the pause.
  • working/session_state.yaml already has other keys (from session-handoff, resume-pipeline): preserve them all; only touch pace_mode.

See Also

  • Full pace-mode spec and auto-detection rules: .claude/skills/question-router/SKILL.md → "Step 3.5: Pace Mode Selection" and "Phase Banner Format".
  • Session state schema and other persisted keys: .claude/skills/session-handoff/SKILL.md.

Signals

GitHub stars
298
Forks
137
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
pace
Source
github.com/ai-analyst-lab/ai-analyst