Schedule
TinyAGI/tinyagi
Create, list, and delete scheduled tasks (recurring or one-time) that send messages to agents.
Design an AI-assisted workflow for a recurring task — which steps to hand to AI, which to keep human, and how they connect — so you get leverage without losing quality or control.
Install AI Workflow Designer
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-workflow-designer --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-workflow-designer .claude/skills/ai-workflow-designer && 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 "ai-workflow-designer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-workflow-designer into .claude/skills/ai-workflow-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-workflow-designer", 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/mohitagw15856/pm-claude-skills/tree/main/skills/ai-workflow-designerType 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 mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-workflow-designer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-workflow-designer .agents/skills/ai-workflow-designer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-workflow-designer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-workflow-designer into .agents/skills/ai-workflow-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-workflow-designer", 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 mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-workflow-designer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-workflow-designer .cursor/skills/ai-workflow-designer && 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 "ai-workflow-designer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-workflow-designer into .cursor/skills/ai-workflow-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-workflow-designer", 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/mohitagw15856/pm-claude-skills.git --path skills/ai-workflow-designer--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 mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-workflow-designer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-workflow-designer .gemini/skills/ai-workflow-designer && 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 "ai-workflow-designer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-workflow-designer into .gemini/skills/ai-workflow-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-workflow-designer", 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 mohitagw15856/pm-claude-skills ai-workflow-designerInstalls 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 mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-workflow-designer .github/skills/ai-workflow-designer && 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 "ai-workflow-designer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-workflow-designer into .github/skills/ai-workflow-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-workflow-designer", 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 mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-workflow-designer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-workflow-designer .opencode/skills/ai-workflow-designer && 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 "ai-workflow-designer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-workflow-designer into .opencode/skills/ai-workflow-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-workflow-designer", 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.
Facts
- Skill name
ai-workflow-designer- GitHub stars
- 1.4k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 623 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design an AI-assisted workflow for a recurring task — which steps to hand to AI, which to keep human, and how they connect — so you get leverage without losing quality or control.
- Works in 7 steps: Map the current steps. Lay out how the… → Sort each step. For each: is it… → Pick tools and prompts. For each AI… → …
- Asked how do I use AI for [process]
- SKILL.md covers What This Skill Produces, Required Inputs, Framework: Split The Steps,… and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Workflow Designer is an agent skill from mohitagw15856/pm-claude-skills. Design an AI-assisted workflow for a recurring task — which steps to hand to AI, which to keep human, and how they connect — so you get leverage without losing quality or control. Use when asked how do I use AI for [process], automate this with AI, design an AI workflow, or where does AI fit in my process. Produces a map of the task's steps split into AI-does / human-does / human-checks, the right tool/prompt for each AI step, the hand-offs and review points, the failure modes to guard against, and a start-small…
Its SKILL.md is about 1.2k 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 Productivity & Automation, covering Scheduled and recurring tasks. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked how do I use AI for [process]
- Automate this with AI
- Design an AI workflow
- Where does AI fit in my process
Example prompts
- “/ai-workflow-designer”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Map the current steps. Lay out how the task is done now — you can't design the AI version without seeing the manual one.
- Sort each step. For each: is it something AI does reliably (drafting, summarizing, extracting, transforming), something needing human…
- Pick tools and prompts. For each AI step, the right tool and a reliable prompt (often from a prompt library) — so the step works…
- Design the seams. Where outputs hand off between steps is where errors hide — add review checkpoints at the seams, especially before…
- Guard the failure modes. Name where AI could err (wrong facts, edge cases, confident nonsense) and the specific check that catches it…
- Roll out small. Start with the low-risk steps, verify the quality, and expand — building trust rather than automating everything and hoping.
- Keep humans where it counts. Be clear which steps should stay human — judgment, empathy, and high-stakes calls aren't candidates for…
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Workflow Designer loads about 1.2k tokens when it runs. Until then it costs about 158 tokens; SKILL.md has 623 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 623 words, ~1,229 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-workflow-designer/SKILL.md (or your agent's skills folder).- name
- ai-workflow-designer
- description
- Design an AI-assisted workflow for a recurring task — which steps to hand to AI, which to keep human, and how they connect — so you get leverage without losing quality or control. Use when asked how do I use AI for [process], automate this with AI, design an AI workflow, or where does AI fit in my process. Produces a map of the task's steps split into AI-does / human-does / human-checks, the right tool/prompt for each AI step, the hand-offs and review points, the failure modes to guard against, and a start-small rollout — turning a manual process into a reliable AI-assisted one that keeps you in control.
AI-Workflow Designer
The mistake people make with AI is bolting it onto a task randomly — or trying to fully automate something that needs judgment, then losing trust when it goes wrong. Real leverage comes from designing the workflow: deciding which steps AI does well, which need a human, and where the checkpoints are. This maps that for your recurring task, so you get the speed of AI with the reliability of human judgment where it matters — and you stay in control.
What This Skill Produces
- The step map — the task broken into steps, each labeled: 🤖 AI does it · 🧑 human does it · ✅ human checks it (AI drafts, human approves)
- The right tool/prompt per AI step — what to use and how to prompt it for each automated step
- Hand-offs & checkpoints — how outputs pass between steps and where the human review points are (so errors are caught, not propagated)
- Failure modes & guards — where this workflow could go wrong (AI errors, hallucination, edge cases) and the checks that catch them
- A start-small rollout — how to introduce it incrementally and build trust before relying on it
- The keep-human line — the steps that should stay human (judgment, relationships, high-stakes calls) and why
Required Inputs
Ask for these if not provided:
- The task/process — the recurring thing you want AI to help with
- The current steps — how you do it now, manually
- The stakes — how much errors cost (drives how many human checkpoints)
- Your tools — the AI tools/access you have
- Your comfort — how much you want to automate vs. keep hands-on
Framework: Split The Steps, Check The Seams
- Map the current steps. Lay out how the task is done now — you can't design the AI version without seeing the manual one.
- Sort each step. For each: is it something AI does reliably (drafting, summarizing, extracting, transforming), something needing human judgment (decisions, relationships, high-stakes), or something AI drafts and a human approves?
- Pick tools and prompts. For each AI step, the right tool and a reliable prompt (often from a prompt library) — so the step works consistently.
- Design the seams. Where outputs hand off between steps is where errors hide — add review checkpoints at the seams, especially before anything irreversible or external-facing.
- Guard the failure modes. Name where AI could err (wrong facts, edge cases, confident nonsense) and the specific check that catches it before it matters.
- Roll out small. Start with the low-risk steps, verify the quality, and expand — building trust rather than automating everything and hoping.
- Keep humans where it counts. Be clear which steps should stay human — judgment, empathy, and high-stakes calls aren't candidates for automation.
Show full SKILL.md (186 more words)Show less
Output Format
AI workflow: [the task]
Step map
| Step | Who | Tool/prompt (if AI) |
|---|---|---|
| [step] | 🤖 AI / 🧑 human / ✅ AI-drafts-human-approves |
Checkpoints: [human review points — esp. before irreversible/external steps]. Failure modes & guards: [where AI could err → the check that catches it]. Keep human: [the judgment/relationship/high-stakes steps] — and why. Roll out: [start with low-risk steps → verify → expand].
Quality Checks
- Maps the current manual steps first
- Sorts each step into AI / human / AI-drafts-human-approves
- Assigns the right tool/prompt to each AI step
- Puts review checkpoints at the hand-off seams
- Names failure modes and specific guards
- Keeps human judgment steps human; rolls out incrementally
Anti-Patterns
- Bolting AI on randomly with no step analysis.
- Fully automating a task that needs judgment.
- No checkpoints at the seams — errors propagate.
- Ignoring failure modes until something breaks.
- Big-bang automation instead of a trust-building rollout.
Example Trigger Phrases
- "How do I use AI for my weekly reporting process?"
- "Design an AI-assisted workflow for handling customer emails."
- "Where does AI fit in my content process, and where shouldn't it?"
- "Help me automate part of this task with AI without losing control."
- "Map out an AI workflow for my recurring [task]."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ai-workflow-designer of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
AI Workflow Designer 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 |
|---|---|---|---|---|---|---|
| AI Workflow Designer this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | |
| ScheduleTinyAGI/tinyagi | 3.6k | — | ~1.4k | Automated safety check: Pass | MIT | |
| OpenObserve PR Briefopenobserve/openobserve | 22k | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Send User MessageTinyAGI/tinyagi | 3.6k | — | ~829 | Automated safety check: Pass | MIT | |
| Vexa Scheduler RoutinesVexa-ai/vexa | 2.9k | — | ~901 | Automated safety check: Pass | Apache-2.0 | |
| QwenPaw Scheduled Tasksagentscope-ai/QwenPaw | 36k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about AI Workflow Designer
What does AI Workflow Designer do?
Design an AI-assisted workflow for a recurring task — which steps to hand to AI, which to keep human, and how they connect — so you get leverage without losing quality or control. AI Workflow Designer is an agent skill from mohitagw15856/pm-claude-skills. Design an AI-assisted workflow for a recurring task — which steps to hand to AI, which to keep human, and how they connect — so you get leverage without losing quality or control.
When should I use AI Workflow Designer?
AI Workflow Designer fits situations like: asked how do I use AI for [process]; automate this with AI; design an AI workflow; where does AI fit in my process.
How do I install AI Workflow Designer in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a claude-code`. Or copy the skill folder (skills/ai-workflow-designer in mohitagw15856/pm-claude-skills) into .claude/skills/ai-workflow-designer in your project. Claude Code loads it when a task matches its description.
How do I install AI Workflow Designer in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a codex`. Or copy the skill folder (skills/ai-workflow-designer in mohitagw15856/pm-claude-skills) into .agents/skills/ai-workflow-designer in your project. Codex loads it when a task matches its description.
Can I use AI Workflow Designer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill ai-workflow-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-workflow-designer, .gemini/skills/ai-workflow-designer, .github/skills/ai-workflow-designer and .opencode/skills/ai-workflow-designer in your project.
What does AI Workflow Designer need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Workflow Designer is instructions for the agent only.
Does AI Workflow Designer access the network?
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.
Is AI Workflow Designer safe to install?
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.
What licence does AI Workflow Designer use?
AI Workflow Designer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Workflow Designer use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Workflow Designer?
Skills that share tags, products or a category with AI Workflow Designer: Schedule (TinyAGI/tinyagi, 3.6k stars), OpenObserve PR Brief (openobserve/openobserve, 22k stars), Send User Message (TinyAGI/tinyagi, 3.6k stars) and Vexa Scheduler Routines (Vexa-ai/vexa, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Workflow Designer?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.