V2 Model Support
mirage-project/mirage
End-to-end pipeline for adding or porting a model to MPK Runtime-V2 — from a compute-graph spec (shapes + draw.io graph + HF checkpoint + TP/EP plan) to a working multi-GPU demo.
Change how visibly Claude surfaces analytical work during L3+ analyses.
$ npx skills add ai-analyst-lab/ai-analyst --skill pace -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ai-analyst-lab/ai-analyst pace --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/pace .claude/skills/pace && rm -rf skills-srcUse ~/.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/
Install the "pace" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/pace into .claude/skills/pace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pace", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/paceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ai-analyst-lab/ai-analyst --skill pace -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ai-analyst-lab/ai-analyst pace --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/pace .agents/skills/pace && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pace" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/pace into .agents/skills/pace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pace", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ai-analyst-lab/ai-analyst --skill pace -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ai-analyst-lab/ai-analyst pace --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/pace .cursor/skills/pace && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pace" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/pace into .cursor/skills/pace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pace", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ai-analyst-lab/ai-analyst.git --path .claude/skills/pace--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ai-analyst-lab/ai-analyst --skill pace -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ai-analyst-lab/ai-analyst pace --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/pace .gemini/skills/pace && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pace" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/pace into .gemini/skills/pace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pace", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ai-analyst-lab/ai-analyst paceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ai-analyst-lab/ai-analyst --skill pace -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/pace .github/skills/pace && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pace" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/pace into .github/skills/pace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pace", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ai-analyst-lab/ai-analyst --skill pace -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ai-analyst-lab/ai-analyst pace --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/pace .opencode/skills/pace && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pace" agent skill from https://github.com/ai-analyst-lab/ai-analyst/tree/main/.claude/skills/pace into .opencode/skills/pace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pace", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
paceChange how visibly Claude surfaces analytical work during L3+ analyses.
Pace is an agent skill from ai-analyst-lab/ai-analyst. 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…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Session handoff and End-to-end testing. The repository describes itself as: AI Product Analyst — Claude Code-powered data analysis toolkit. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 52c0744. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pace loads about 1.4k tokens when it runs. Until then it costs about 212 tokens; SKILL.md has 512 words of instructions outside code blocks.
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.
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.
The full file from ai-analyst-lab/ai-analyst at commit 52c0744, republished under its MIT licence (© ai-analyst-lab). 512 words, ~1,373 tokens.
.claude/skills/pace/SKILL.md (or your agent's skills folder).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.
| Mode | Behavior |
|---|---|
guided | Announce each phase, run it, pause and wait for /continue before the next phase |
narrated | Announce each phase, run it, announce the result, continue to the next phase without pausing (the safe default) |
autopilot | Silent 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. |
The user types one of:
/pace guided/pace narrated/pace autopilot/pace (no argument) — show the current mode and the three optionsguided|narrated|autopilot,
use it. If no argument, print the current mode (read from
working/session_state.yaml → pace_mode) and the three options. Stop.working/session_state.yaml if it exists;
otherwise start with an empty dict. Preserve every other key.working/session_state.yaml.tmp, then rename to working/session_state.yaml.
This prevents corruption if the process is interrupted mid-write.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."working/session_state.yaml ({reason}). Run
/pace {mode} again after resume to restore it."working/session_state.yaml.broken-{timestamp}, write a fresh one with just
pace_mode, and tell the user. Never overwrite without backing up.working/ directory: create it (mkdir -p working), then proceed.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)/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..claude/skills/question-router/SKILL.md → "Step 3.5: Pace Mode Selection" and "Phase Banner Format"..claude/skills/session-handoff/SKILL.md.© ai-analyst-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/pace of ai-analyst-lab/ai-analyst.
Open the folder on GitHubat commit 52c0744
Pace 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pace this skillai-analyst-lab/ai-analyst | 304 | — | ~1.4k | Automated safety check: Pass | MIT | |
| V2 Model Supportmirage-project/mirage | 2.5k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | |
| Absolute Workmaddhruv/absolute | 218 | — | ~5.3k | Automated safety check: Pass | MIT | |
| Edt MCP New ToolDitriXNew/EDT-MCP | 295 | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Sebastian ThrunK-Dense-AI/mimeo | 282 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Ship Featuretheexperiencecompany/gaia | 308 | — | ~2.7k | Automated safety check: Notes | Custom licence |
mirage-project/mirage
End-to-end pipeline for adding or porting a model to MPK Runtime-V2 — from a compute-graph spec (shapes + draw.io graph + HF checkpoint + TP/EP plan) to a working multi-GPU demo.
maddhruv/absolute
End-to-end, phase-gated SDLC for AI coding agents: relentless design interview → reviewed spec → dependency-graphed task board → safe-wave TDD execution → verification → converge.
DitriXNew/EDT-MCP
Canonical, battle-tested checklist for adding a new MCP tool to the EDT-MCP plugin the right way — the IMcpTool surface, shared resolvers, schema, registration, MANIFEST, the two MANDATORY test…
K-Dense-AI/mimeo
Applies the reasoning, principles, and mental models of Sebastian Thrun (robotics and self-driving cars pioneer, founder of Google X, Waymo, Udacity, Stanford University).
theexperiencecompany/gaia
Autonomously ship a feature end-to-end with zero human intervention: plan it, implement it, review it with a team of subagents, boot the full stack, drive it in a real browser like a user…
FerroxLabs/wayland
Orchestrates the full software feature development lifecycle from specification through production deployment, chaining five engineering skills into a cohesive build pipeline.
ai-analyst-lab/ai-analyst
Never present a metric or number in isolation; anchor every number to a comparison (prior period, benchmark, or another segment) or state that none is available.
ai-analyst-lab/ai-analyst
Retrieve proven SQL patterns, table cheatsheets, and join patterns from .knowledge/query-archaeology/ so past work gets reused.
ai-analyst-lab/ai-analyst
Save completed analyses to the knowledge system's analysis archive for future reference.
ai-analyst-lab/ai-analyst
Verify Google Workspace MCP authentication at the start of any session that needs Google APIs (Docs, Slides, Drive).
ai-analyst-lab/ai-analyst
Causal inference toolkit for when experiments are not possible: estimate treatment effects from observational data with assumption checks and mandatory caveats.
ai-analyst-lab/ai-analyst
Standardized workflow for uploading local chart PNGs to Google Drive and making them available for insertion into Google Docs and Slides.
Categories
Change how visibly Claude surfaces analytical work during L3+ analyses. Pace is an agent skill from ai-analyst-lab/ai-analyst. Change how visibly Claude surfaces analytical work during L3+ analyses.
Pace fits situations like: the user invokes /pace; /pace autopilot; says things like slow down and walk me through; pause between steps.
Run `npx skills add ai-analyst-lab/ai-analyst --skill pace -a claude-code`. Or copy the skill folder (.claude/skills/pace in ai-analyst-lab/ai-analyst) into .claude/skills/pace in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ai-analyst-lab/ai-analyst --skill pace -a codex`. Or copy the skill folder (.claude/skills/pace in ai-analyst-lab/ai-analyst) into .agents/skills/pace in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ai-analyst-lab/ai-analyst --skill pace -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pace, .gemini/skills/pace, .github/skills/pace and .opencode/skills/pace in your project.
SKILL.md names no scripts, command-line tools or credentials: Pace is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Pace is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pace: V2 Model Support (mirage-project/mirage, 2.5k stars), Absolute Work (maddhruv/absolute, 218 stars), Edt MCP New Tool (DitriXNew/EDT-MCP, 295 stars) and Sebastian Thrun (K-Dense-AI/mimeo, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ai-analyst-lab (a GitHub organization) maintains it in ai-analyst-lab/ai-analyst, which has 304 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on September 30, 2026.
Source: ai-analyst-lab/ai-analyst on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.