Bad
stephenleo/bmad-autonomous-development
BMad Autonomous Development — orchestrates parallel story implementation pipelines.
Process: retrospectives, session handoff, pair programming, subagent-driven development, condition-based waiting.
$ npx skills add notque/vexjoy-agent --skill process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notque/vexjoy-agent process --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/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/process/process .claude/skills/process && 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 "process" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/process into .claude/skills/process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "process", 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/notque/vexjoy-agent/tree/main/skills/process/processType 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 notque/vexjoy-agent --skill process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notque/vexjoy-agent process --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/process/process .agents/skills/process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "process" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/process into .agents/skills/process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "process", 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 notque/vexjoy-agent --skill process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notque/vexjoy-agent process --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/process/process .cursor/skills/process && 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 "process" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/process into .cursor/skills/process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "process", 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/notque/vexjoy-agent.git --path skills/process/process--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 notque/vexjoy-agent --skill process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notque/vexjoy-agent process --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/process/process .gemini/skills/process && 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 "process" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/process into .gemini/skills/process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "process", 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 notque/vexjoy-agent processInstalls 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 notque/vexjoy-agent --skill process -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/process/process .github/skills/process && 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 "process" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/process into .github/skills/process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "process", 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 notque/vexjoy-agent --skill process -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notque/vexjoy-agent process --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/process/process .opencode/skills/process && 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 "process" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/process into .opencode/skills/process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "process", 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.
processProcess: retrospectives, session handoff, pair programming, subagent-driven development, condition-based waiting.
Process is an agent skill from notque/vexjoy-agent. Process: retrospectives, session handoff, pair programming, subagent-driven development, condition-based waiting.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `adr-reviewer-prompt.md`, `code-quality-reviewer-prompt.md` and `implementer-prompt.md`).
It sits in Agent Workflows, covering Subagents, Retrospectives and Session handoff. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashGrepGlobTaskAgentFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitpython3ghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.
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.
Process loads about 2.1k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 843 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Bash, Grep, Glob, Task, AgentAutomated 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 notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 843 words, ~2,099 tokens.
.claude/skills/process/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Five modes. Parse the request to pick one. Default to retro when ambiguous.
| Signal | Mode |
|---|---|
| Negative results, what didn't work, routing stats, review ROI, retro | Retro |
| Hand off, package state, session pickup, rehydrate | Handoff |
| Pair program, step by step, walk me through, one change at a time | Pair |
| Subagent per task, execute plan, fresh context | Subagent |
| Wait for, retry, backoff, poll, health check, circuit breaker | Wait |
Read-only retrospective. Two stores: docs/what-didnt-work.md (negative-results
registry) and learning.db (routing/review telemetry via scripts/learning-db.py).
| Argument | Action |
|---|---|
| (none), what-didnt-work | Read docs/what-didnt-work.md. Group by date. Show each Decision verdict up front. If missing, report no negative results recorded. |
| routing, route health | Run python3 ~/.claude/scripts/learning-db.py route-health, then route-stats --by agent (or the user's dimension). Present outcome basis before rates. |
| reviews, review ROI | Run learning-db.py review-roi and review-fps. Present cost, findings, and false positives per agent in one table. |
For comparisons: learning-db.py route-delta --from SHA_OR_DATE --to SHA_OR_DATE.
Two submodes sharing one state contract. HANDOFF packages work for the next session. PICKUP rehydrates from that package.
Produce a bullet package with these sections:
git status -sb; note unpushed commits and worktree path.gh pr checks).Gate: every process has a copy-paste command; every pending step is ordered.
git status -sb).gh pr view --comments).Gate: branch, PR state, and first action confirmed. Observed state wins over handoff.
Constraints: separate observed from inherited results. Redact secrets. Scale detail to the next action.
Announce-Show-Wait-Apply-Verify micro-step protocol. Stay in the main session (forks cannot conduct user gates).
Read the request and code. Show a numbered plan (one logical change per step). Wait for acknowledgment. Track current step, remaining steps, and speed.
ok / yes / y.| Command | Action |
|---|---|
ok/yes/y | Apply current step, propose next |
no/n | Skip, propose alternative |
faster | Double step size (cap 50) |
slower | Halve step size (min 5) |
skip | Skip to next step |
plan | Show remaining steps |
done | End pairing, run final verification |
"Just do it" = switch to autonomous mode for remaining authorized work.
Execute a plan with fresh implementer subagents. Planning owns the plan format; this mode owns dispatch and integration.
BASE_SHA (git rev-parse HEAD), project conventions, and relevant context.python3 scripts/check-scope-overlap.py --tasks '<json>'. Serialize overlapping writes; parallelize independent groups.Gate: tasks, BASE_SHA, context, and scope checks ready.
Gate: requirements and code quality pass per task.
BASE_SHA..HEAD diff for cross-task conflicts and integration issues.pr-workflow).Gate: combined changes work, required checks pass.
Implement condition-based polling and retry patterns with bounded timeouts.
| Scenario | Pattern |
|---|---|
| Wait for condition to become true | Simple poll (timeout + min interval) |
| Retry failing operation | Exponential backoff (max retries + jitter + delay cap) |
| API returns 429 | Rate limit recovery (Retry-After + fallback) |
| Wait for service(s) to start | Health check (all-pass + per-check status) |
| Prevent cascade failures | Circuit breaker (failure threshold + recovery timeout) |
time.monotonic() for elapsed time, never time.time().start = time.monotonic()
while time.monotonic() < start + timeout:
if condition():
return result
time.sleep(interval)
raise TimeoutError(f"Timeout waiting for: {description}")for attempt in range(max_retries + 1):
try:
return operation()
except retryable_exceptions:
if attempt >= max_retries: raise
jitter = 1.0 + random.uniform(-0.5, 0.5)
time.sleep(min(delay * jitter, max_delay))
delay = min(delay * backoff_factor, max_delay)For full implementations (rate-limited client, health check waiter, circuit breaker), detection commands, and test patterns, load the deep references.
| Signal | Load | Content |
|---|---|---|
| Writing wait/retry implementations | references/cbw-implementation-patterns.md | Complete Python/Bash code for all 5 patterns |
| Reviewing wait/retry code for mistakes | references/cbw-preferred-patterns.md | Detection commands and fixes for common mistakes |
| Testing wait/retry code | references/cbw-testing-patterns.md | pytest patterns for polling, backoff, circuit breaker |
© notque, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (references) in skills/process/process of notque/vexjoy-agent.
Open the folder on GitHubat commit 5218674
Process 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 |
|---|---|---|---|---|---|---|
| Process this skillnotque/vexjoy-agent | 435 | — | ~2.1k | Automated safety check: Notes | MIT | |
| Badstephenleo/bmad-autonomous-development | 107 | — | ~7.7k | Automated safety check: Pass | MIT | |
| Skill Retrokenneth-liao/ai-launchpad-marketplace | 126 | — | ~2.1k | Automated safety check: Pass | None | |
| Orchestratorbacknotprop/orchestrator | 118 | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| RetrospectiveSzotasz/marveen | 115 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Wf Playercatlog22/Claude-Code-Workflow | 2.1k | — | ~1.3k | Automated safety check: Notes | MIT |
stephenleo/bmad-autonomous-development
BMad Autonomous Development — orchestrates parallel story implementation pipelines.
kenneth-liao/ai-launchpad-marketplace
A skill your agent uses when reviewing how skills performed during a session, when the user wants to analyze skill invocations and identify improvements, or when the user says "skill retro", "review…
backnotprop/orchestrator
Use Orchestrator as a CLI-backed skill to delegate and coordinate work across Claude Code, Codex, Copilot, Grok, Pi, shell, and custom runtimes.
Szotasz/marveen
Analyze the current session for improvement opportunities in skills, memory, and workflow.
catlog22/Claude-Code-Workflow
Workflow template player — load a JSON template produced by wf-composer, bind context variables, execute nodes in DAG order (serial/parallel), persist state at checkpoints, support resume from any…
jpicklyk/task-orchestrator
Analyzes the current implementation run — evaluates schema effectiveness, delegation alignment, note quality, and plan-to-execution fit.
notque/vexjoy-agent
Deterministic palette/matrix pixel art (not AI). An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining.
notque/vexjoy-agent
Improve architecture across modules by deepening interfaces.
notque/vexjoy-agent
Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Statistical rule discovery from Go codebase patterns. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Review and fix temporal references in code comments. An agent skill from notque/vexjoy-agent.
Process: retrospectives, session handoff, pair programming, subagent-driven development, condition-based waiting. Process is an agent skill from notque/vexjoy-agent. Process: retrospectives, session handoff, pair programming, subagent-driven development, condition-based waiting.
Process fits situations like: tasks that involve Subagents; tasks that involve Retrospectives; tasks that involve Session handoff.
Run `npx skills add notque/vexjoy-agent --skill process -a claude-code`. Or copy the skill folder (skills/process/process in notque/vexjoy-agent) into .claude/skills/process in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notque/vexjoy-agent --skill process -a codex`. Or copy the skill folder (skills/process/process in notque/vexjoy-agent) into .agents/skills/process 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 notque/vexjoy-agent --skill process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/process, .gemini/skills/process, .github/skills/process and .opencode/skills/process in your project.
Going by SKILL.md and its folder, Process needs the command-line tools its instructions call (git, python3 and gh). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Grep, Glob, Task, Agent.
SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Process is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Process: Bad (stephenleo/bmad-autonomous-development, 107 stars), Skill Retro (kenneth-liao/ai-launchpad-marketplace, 126 stars), Orchestrator (backnotprop/orchestrator, 118 stars) and Retrospective (Szotasz/marveen, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 435 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.
Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.