Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
SEM
Search engine marketing strategy, keyword bidding, quality score optimization, and paid search campaign management
skill openclawclawhub Free
Search engine marketing strategy, keyword bidding, quality score optimization, and paid search campaign management
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Keyword Strategy
Exact match isn't exact anymore โ Google includes "close variants" (plurals, misspellings, implied intent). Review search terms report weekly Broad match needs smart bidding โ without automated bidding, broad match burns budget on irrelevant queries Long-tail keywords have lower CPC but need volume โ 100 low-volume keywords won't spend, consolidate into phrase/broad with negatives Competitor brand bidding is legal but expensive โ CPCs are 2-5x higher and Quality Scores stay low. Budget accordingly Single Keyword Ad Groups (SKAGs) are outdated โ Google's algorithm works better with theme-based ad groups of 5-15 related keywords
Quality Score Impact
Quality Score affects CPC exponentially โ QS 10 pays ~50% less than QS 5 for same position Three components: expected CTR, ad relevance, landing page experience. Check diagnostics to know which to fix Historical CTR matters most โ new keywords inherit account-level history. Poor performers drag down new campaigns Landing page speed is a ranking factor โ compress images, remove unnecessary scripts before scaling spend Ad relevance requires keyword in headline โ dynamic keyword insertion ({KeyWord:Default}) is cheap but effective
Bidding Mistakes
Manual CPC leaves money on table at scale โ switch to automated bidding after 30+ conversions/month Target CPA too aggressive kills volume โ start 20% above actual CPA, tighten gradually Maximize Conversions without cap spends entire budget regardless of efficiency โ always set a target CPA or ROAS Enhanced CPC (ECPC) is neither manual nor smart โ commit to one strategy, ECPC is the worst of both Bid adjustments stack multiplicatively โ +50% device ร +30% location = +95%, not +80%
Campaign Structure
Search and Display in same campaign is always wrong โ different intents, different metrics, split them Brand campaigns should be separate โ protect branded terms, track true branded vs non-branded performance Geographic targeting at campaign level, not ad group โ easier budget control by region Audience layering (observation mode) first โ collect data before switching to targeting mode that restricts reach Shared budgets hide which campaigns would spend more โ use individual budgets to understand true demand
Ad Copy Rules
Include primary keyword in Headline 1 โ ad relevance and CTR both improve Responsive Search Ads need 8-10 headline variations โ algorithm can't optimize with only 3-4 options Pin critical messaging to position 1 โ brand name, key offer, or compliance text that must always show Call extensions increase CTR 5-10% โ add phone number even if calls aren't primary goal Test exactly one element at a time โ headline vs headline, not headline + description + CTA simultaneously
Search Terms Hygiene
Review search terms weekly, not monthly โ irrelevant spend compounds fast Add negatives at campaign level for broad exclusions, ad group level for specific refinement Negative keyword match types matter โ "free" as phrase negative blocks "free trial" but not "trial free download" Create a shared negative keyword list โ apply learnings across campaigns automatically Search term "other" category is hidden queries โ if it's significant %, request detailed report from rep or use scripts
Conversion Tracking Errors
Last-click attribution hides assist value โ at minimum, compare with data-driven attribution Counting "All conversions" inflates ROAS โ filter to primary conversion action for true performance Phone call conversions need duration minimums โ 60 seconds minimum filters spam and misdials Micro-conversions (email signups) have different values than purchases โ set values proportionally Cross-device conversions are modeled, not tracked โ factor uncertainty into ROAS calculations
Scaling Paid Search
Search volume has a ceiling โ unlike social, you can't pay to reach more people than are searching Impression Share shows headroom โ if IS is 90%+, growth requires new keywords, not more budget Diminishing returns are real โ CPAs increase 20-40% when scaling past optimal volume. Know your efficiency/volume tradeoff Bing Ads imports Google campaigns directly โ 10-15% extra volume at lower CPCs, minimal extra work International expansion multiplies complexity โ separate accounts per market, don't just add countries to existing campaigns
Platform Automation
Auto-applied recommendations are opt-out, not opt-in โ disable recommendations that conflict with strategy Smart campaigns hide too much data โ use regular campaigns for control and learning Performance Max cannibalizes branded search โ exclude brand terms or track incrementality carefully Scripts automate repetitive tasks โ bid adjustments, budget pacing, negative keyword mining run automatically Rules-based automation is fragile โ "if CTR < 2%, pause" kills potentially good ads too early. Use with caution
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md