Ad Creative
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS.
Install Algo Ad Bidding
$ npx skills add asgard-ai-platform/skills --skill algo-ad-bidding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-ad-bidding --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/algo-ad-bidding .claude/skills/algo-ad-bidding && 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 "algo-ad-bidding" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-bidding into .claude/skills/algo-ad-bidding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-ad-bidding", 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/asgard-ai-platform/skills/tree/main/algo-ad-biddingType 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 asgard-ai-platform/skills --skill algo-ad-bidding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-ad-bidding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/algo-ad-bidding .agents/skills/algo-ad-bidding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algo-ad-bidding" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-bidding into .agents/skills/algo-ad-bidding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-ad-bidding", 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 asgard-ai-platform/skills --skill algo-ad-bidding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-ad-bidding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/algo-ad-bidding .cursor/skills/algo-ad-bidding && 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 "algo-ad-bidding" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-bidding into .cursor/skills/algo-ad-bidding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-ad-bidding", 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/asgard-ai-platform/skills.git --path algo-ad-bidding--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 asgard-ai-platform/skills --skill algo-ad-bidding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-ad-bidding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/algo-ad-bidding .gemini/skills/algo-ad-bidding && 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 "algo-ad-bidding" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-bidding into .gemini/skills/algo-ad-bidding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-ad-bidding", 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 asgard-ai-platform/skills algo-ad-biddingInstalls 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 asgard-ai-platform/skills --skill algo-ad-bidding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/algo-ad-bidding .github/skills/algo-ad-bidding && 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 "algo-ad-bidding" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-bidding into .github/skills/algo-ad-bidding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-ad-bidding", 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 asgard-ai-platform/skills --skill algo-ad-bidding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills algo-ad-bidding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/algo-ad-bidding .opencode/skills/algo-ad-bidding && 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 "algo-ad-bidding" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-bidding into .opencode/skills/algo-ad-bidding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-ad-bidding", 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
algo-ad-bidding- GitHub stars
- 242
- Token cost
- ~1.1k tokens
- SKILL.md length
- 429 words
- Files
- 4 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS.
- Works in 4 steps: Input Validation → Core Algorithm → Verification → …
- The user needs to choose a bidding strategy
- SKILL.md covers Overview, When to Use, Algorithm and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Algo Ad Bidding is an agent skill from asgard-ai-platform/skills. Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/learning-period.md` and `references/migration-playbook.md`).
It sits in Marketing & SEO, covering Paid advertising. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to choose a bidding strategy
- Set up automated bidding
- Optimize bid parameters — even if they say what bidding strategy should I use
- Target CPA setup
Example prompts
- “what bidding strategy should I use”
- “target CPA setup”
- “smart bidding configuration”
- “/algo-ad-bidding”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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 (its code samples are json).
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
Algo Ad Bidding loads about 1.1k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 429 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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 429 words, ~1,117 tokens.
Download SKILL.mdSave it as
.claude/skills/algo-ad-bidding/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- algo-ad-bidding
- description
- Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.
- metadata.category
- WP-37 廣告演算法
- metadata.tags
- advertising, bidding-strategy, automated-bidding, optimization
Ad Bidding Strategies
Overview
Bidding strategies determine how much an advertiser pays per auction. Range from manual CPC (full control) to automated strategies (Target CPA, Target ROAS, Maximize Conversions) that use ML to optimize bids in real-time based on contextual signals.
When to Use
Trigger conditions:
- Choosing between manual and automated bidding strategies
- Setting up or troubleshooting Target CPA / Target ROAS campaigns
- Analyzing bid strategy performance and making adjustments
When NOT to use:
- When designing the auction mechanism itself (use GSP/VCG)
- When building a CTR prediction model (use CTR prediction skill)
Algorithm
IRON LAW: Automated Bidding Requires SUFFICIENT Conversion Data
Below ~30 conversions/month, the algorithm lacks signal and performs
WORSE than manual bidding. Strategy selection depends on data volume:
- < 30 conv/month: Manual CPC or Maximize Clicks
- 30-50 conv/month: Maximize Conversions
- 50+ conv/month: Target CPA
- 50+ conv/month + revenue data: Target ROASPhase 1: Input Validation
Assess: monthly conversion volume, conversion tracking accuracy, campaign budget, business goal (volume vs efficiency vs revenue). Gate: Conversion tracking verified, sufficient data for chosen strategy.
Phase 2: Core Algorithm
Manual CPC: Set bid per keyword. Adjust based on: device, time, location, audience performance data.
Target CPA: 1. Set target cost-per-acquisition. 2. Algorithm predicts conversion probability per auction using contextual signals. 3. Bids up for high-probability conversions, down for low. 4. Aims to average at target CPA over time.
Target ROAS: Same as CPA but optimizes for return on ad spend = conversion_value / cost.
Phase 3: Verification
Monitor: actual CPA vs target, conversion volume stability, impression share changes, budget utilization. Gate: Actual CPA within 20% of target after learning period (2-4 weeks).
Phase 4: Output
Return strategy recommendation with expected performance ranges.
Output Format
{
"recommendation": {"strategy": "target_cpa", "target": 500, "currency": "TWD", "confidence": "high"},
"expected_performance": {"cpa_range": [400, 600], "volume_change": "-10% to +15%"},
"metadata": {"monthly_conversions": 85, "current_cpa": 550, "learning_period_days": 14}
}Examples
Sample I/O
Input: E-commerce campaign, 120 conversions/month, current CPA=NT$450, goal: maintain CPA, increase volume Expected: Target CPA at NT$450. Expected: volume +10-20% as algorithm finds efficient auctions.
Show full SKILL.md (173 more words)Show less
Edge Cases
| Input | Expected | Why |
|---|---|---|
| 10 conversions/month | Manual CPC | Insufficient data for automation |
| Target CPA too aggressive | Volume drops to near zero | Algorithm can't find profitable auctions |
| Conversion tracking broken | All strategies fail | Garbage data → garbage optimization |
Gotchas
- Learning period volatility: First 2 weeks after switching strategies show unstable performance. Don't change targets during this period.
- Conversion delay: If conversions take days to attribute (e.g., B2B), the algorithm optimizes on stale data. Use conversion modeling or extend the attribution window.
- Budget as a constraint: Target CPA won't spend if it can't hit the target. Setting an aggressive CPA with a large budget doesn't increase spend — it just saves money.
- Micro-conversions: If training on a proxy conversion (add to cart) instead of final purchase, the algorithm optimizes for the proxy. Ensure the tracked conversion aligns with business value.
- Seasonality shocks: Automated bidding learns from recent data. Black Friday, holidays, or competitive events can throw it off. Use seasonality adjustments.
References
- For bid strategy migration playbook, see
references/migration-playbook.md - For learning period best practices, see
references/learning-period.md
© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in algo-ad-bidding of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/learning-period.md
- references/migration-playbook.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Algo Ad Bidding 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 |
|---|---|---|---|---|---|---|
| Algo Ad Bidding this skillasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Ad CreativeLeoYeAI/openclaw-marketing-skills | 1k | 8 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| Ad Account Auditoraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ad Creative Builderaaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ad Test Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Algo Ad Bidding
What does Algo Ad Bidding do?
Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Algo Ad Bidding is an agent skill from asgard-ai-platform/skills. Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS.
When should I use Algo Ad Bidding?
Algo Ad Bidding fits situations like: the user needs to choose a bidding strategy; set up automated bidding; optimize bid parameters — even if they say what bidding strategy should I use; target CPA setup.
How do I install Algo Ad Bidding in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill algo-ad-bidding -a claude-code`. Or copy the skill folder (algo-ad-bidding in asgard-ai-platform/skills) into .claude/skills/algo-ad-bidding in your project. Claude Code loads it when a task matches its description.
How do I install Algo Ad Bidding in Codex?
Run `npx skills add asgard-ai-platform/skills --skill algo-ad-bidding -a codex`. Or copy the skill folder (algo-ad-bidding in asgard-ai-platform/skills) into .agents/skills/algo-ad-bidding in your project. Codex loads it when a task matches its description.
Can I use Algo Ad Bidding 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 asgard-ai-platform/skills --skill algo-ad-bidding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algo-ad-bidding, .gemini/skills/algo-ad-bidding, .github/skills/algo-ad-bidding and .opencode/skills/algo-ad-bidding in your project.
What does Algo Ad Bidding need to run?
SKILL.md names no scripts, command-line tools or credentials: Algo Ad Bidding is instructions for the agent only.
Does Algo Ad Bidding 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 Algo Ad Bidding 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 Algo Ad Bidding use?
Algo Ad Bidding 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 Algo Ad Bidding use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 5.1k tokens, read only when the agent opens those files.
What are the alternatives to Algo Ad Bidding?
Skills that share tags, products or a category with Algo Ad Bidding: Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars), Ad Account Auditor (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Ad Creative Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Algo Ad Bidding?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.