content-research-writer
Skill11k starsChanged 44 days agoApache-2.0View on GitHub
Content research and SEO writing methodology. Guides the agent through topic research, keyword identification, competitive analysis, and writing SEO-optimized content that ranks well and provides genuine value to readers.
72 other projects use a version of this.
Trending
More talk lately.about the whole repository
Most recently taken up by
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- drarunmitra/research-skillstheir own version, first seen Nov 8, 2026
- OpenSourceAssist/awesome-agent-skillstheir own version, first seen Nov 1, 2026
- OpenxIntelligence/Coding-Agent-Skillstheir own version, first seen Nov 1, 2026
- I-Onlabs/claude-code-skillstheir own version, first seen Oct 25, 2026
- rongxinzy/RongxinAItheir own version, first seen Oct 17, 2026
Who's talking about google/adk-samples
- @stephanjanssen.be“Google just open sourced a Python Agent Development Kit @ github.com/google/adk-p... Native Streaming and …”Bluesky · Apr 9, 2025 · 12 likes
- google/adk-python“stream_query and HTTP Streaming to Vertex AI Agent Return Empty/Exhausted Responses (Works via ADK Web)”GitHub · Jul 8, 2025 · 5 reactions
- google/adk-recipes“Support running agents fully locally without Vertex AI (offline mode)”GitHub · Apr 14, 2025 · 4 reactions
- google/adk-recipes“[BUG]: Deployment of Data Science agent to Agent Engine fails ”GitHub · Oct 1, 2025 · 3 reactions
- A Hacker News story“CaMeL-Powered Secure Agent Demo with ADK”Hacker News · Aug 9, 2025 · 3 points
The biggest 5 of 32 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 32
Talked about on GitHub, Bluesky, Hacker News and Stack Overflow (32 times).
On GitHub · 23
- Jul 8, 2025stream_query and HTTP Streaming to Vertex AI Agent Return Empty/Exhausted Responses (Works via ADK Web) — google/adk-python5 reactions
- Apr 14, 2025Support running agents fully locally without Vertex AI (offline mode) — google/adk-recipes4 reactions · 7 comments
- Oct 1, 2025[BUG]: Deployment of Data Science agent to Agent Engine fails — google/adk-recipes3 reactions · 1 comment
- Oct 28, 2026docs: fix 5 broken internal anchor links and 1 dead external link — google-gemini/gemini-cli1 reaction · 4 comments
- Oct 20, 2026Update adk-samples references and python/agents discovery paths for google/adk-recipes restructure — google/agents-cli1 reaction · 2 comments
18 more on GitHub
- Oct 12, 2026list: scan the template dir we cloned, not the clone root — GoogleCloudPlatform/agent-starter-pack1 reaction
- Feb 12, 2026interrupted sometimes didn't work — google/adk-python1 reaction · 10 comments
- Jan 8, 2026Implement 5 ADK agent projects that can be easily run by newbies — addyosmani/adk-product-engineers1 reaction
- Nov 20, 2025[BUG]: deep-search/gemini-fullstack: Wrong prompt to access session state — google/adk-recipes1 reaction
- Jun 21, 2025unable to import StdioServerParameters — google/adk-recipes1 reaction · 2 comments
- Jun 17, 2025VertexAiRagRetrieval needs llama-index package — google/adk-recipes1 reaction · 3 comments
- Jun 5, 2025Bug: display_name in file uploads causes error with Google.GenAI backend (non-Vertex) — google/adk-python1 reaction · 6 comments
- May 18, 2025Missing Image — google/adk-recipes1 reaction
- Apr 11, 2025Duplicate key name — google/adk-recipes1 reaction · 1 comment
- Oct 18, 2026Fix(audit,#17387): Day4 Track2 tranche 1 -- Lab8/Lab9 reformulations honnetes, cures accents — jsboige/CoursIA0 reactions · 14 comments
- Sep 17, 2026Rename sample references to recipe across repository — google/adk-recipes0 reactions
- Sep 12, 2026docs(deep-search): fix cloud deployment instructions and scaffold path (#2575) — google/adk-recipes0 reactions · 4 comments
- Sep 12, 2026docs: fix 404 link to relocated Deep Search sample — google/adk-docs0 reactions · 1 comment
- Sep 9, 2026Add repo skills instructions and documentation links to AI issue response workflow — google/adk-recipes0 reactions
- Jul 24, 2026Fix broken adk-samples links from deleted sample agents and notebooks — google/adk-docs0 reactions · 1 comment
- Jun 12, 2026ci: run the spam-detection bot via the adk-samples reusable workflow — google/adk-go0 reactions · 1 comment
- May 27, 2026Add Deep Search Agent project to portfolio showcase — asafsilner/silner-showcase-prime0 reactions
- Feb 12, 2026fix: path typo in story teller example — google/adk-recipes0 reactions · 3 comments
On Bluesky · 4
- Apr 9, 2025Google just open sourced a Python Agent Development Kit @ github.com/google/adk-p... Native Streaming and #MCP support out of the box 👀… — @stephanjanssen.be12 likes and reposts
- Jul 12, 2026Exploring the ADK Samples repo from Google—it’s like a guidebook for building intelligent agents. Seeing multi-language support reflects… — @iam.slys.dev1 likes and repost
- Dec 9, 2025📦 google / adk-samples ⭐ 6,900 (+67) 🗒 Python A collection of sample agents built with Agent Development Kit (ADK) — @github-trending.bsky.social1 likes and repost
- May 20, 2025Explore practical use-cases & build! 🧪 Hands-on Patent Search Codelab: codelabs.developers.google.com/patent-searc... 📚 Check out sample… — @kweinmeister.bsky.social0 likes and reposts · 1 reply
On Hacker News · 3
- Aug 9, 2025CaMeL-Powered Secure Agent Demo with ADK3 points · 1 comment
- Jun 13, 2025A collection of sample agents built with Agent Development (ADK)2 points
- Aug 13, 2025CaMeL agent to protect against indirect prompt injection1 point · 1 comment
On Stack Overflow · 2
- Aug 30, 2025Google ADK SequentialAgent sub_agents not waiting for user input1 vote
- Aug 29, 2025Issue with deploying ADK Agent on Google Agent Engine0 votes
Used with
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Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ArogyaReddySkillskill-share
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
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Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
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Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
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trendinuxSkilltwitter-algorithm-optimizer
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
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guaderramaSkilllead-research-assistant
Identifies and qualifies potential leads by analyzing products/services, understanding ideal customer profiles, conducting intelligent web research using Bright Data MCP tools, and providing actionable outreach strategies. Use when researching leads, prospecting, qualifying contacts, analyzing companies, enriching lead data, or creating outreach campaigns.
Also in 27 projects that use this
- +7 more from ArogyaReddy
Other versions72 projects use a version of this.
Word for word · 1
- google/adk-recipes★ 11k100% same
Edited · 0
None found.
Wrote their own version · 71
- ComposioHQ/awesome-claude-skills★ 75ksame name
- ComposioHQ/awesome-codex-skills★ 17ksame name
- composio-community/awesome-codex-skills★ 16ksame name
- anbeime/skill★ 7.9ksame name
- Prat011/awesome-llm-skills★ 1.7ksame name
- MoizIbnYousaf/Ai-Agent-Skills★ 1.1ksame name
- skillcreatorai/Ai-Agent-Skills★ 1.1ksame name
- MoizIbnYousaf/ai-agent-skills★ 1.1ksame name
- pedronauck/skills★ 649same name
- maslennikov-ig/claude-code-orchestrator-kit★ 248same name
61 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository43 other files it gives its agents.
- AGENTS.mdAGENTS.md
- contrib/kotlin/llm-auditor/AGENTS.mdAGENTS.md
- core/python/adk-voice-agent/AGENTS.mdAGENTS.md
- core/python/adk-voice-agent/sandbox/home/AGENTS.mdAGENTS.md
- core/python/adk-voice-agent/tests/eval/fixtures/alex/repos/portland-trip/AGENTS.mdAGENTS.md
- core/python/ambient-expense-agent/AGENTS.mdAGENTS.md
- core/python/ambient-quality-agent/AGENTS.mdAGENTS.md
- core/python/cross-session-memory/AGENTS.mdAGENTS.md
- core/python/deep-search/AGENTS.mdAGENTS.md
- core/python/genmedia-for-commerce/AGENTS.mdAGENTS.md
- core/python/long-horizon-harness/AGENTS.mdAGENTS.md
- core/python/oauth-user-consent-flow/AGENTS.mdAGENTS.md
- core/python/rag-agent-search/AGENTS.mdAGENTS.md
- core/python/rag-vector-search/AGENTS.mdAGENTS.md
- core/python/safety-plugins/AGENTS.mdAGENTS.md
- core/python/adk-voice-agent/sandbox/home/CLAUDE.mdCLAUDE.md
- core/python/genmedia-for-commerce/CLAUDE.mdCLAUDE.md
- align-recipe-pyprojectSkill
- extract-python-environment-variablesSkill
- generate-manifestSkill
- generate-python-runnability-testSkill
- github-pr-reviewSkill
- make-python-recipe-deployableSkill
- prepare-python-recipeSkill
- repo-oracleSkill
- scaffold-python-recipeSkill
- blog-writerSkill
- approvalsSkill
- coding-workflowSkill
- connected-apps-mcpSkill
- deliverablesSkill
- filesystemSkill
- recommendationsSkill
- agents-cli-aquaSkill
- custom-investigationSkill
- rcaSkill
- bootstrap-google-toolsSkill
- find-skillsSkill
- google-workspaceSkill
- policySkill
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- retail-product-searchSkill
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The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 67 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
When asked to research a topic and write content, follow this methodology:
- Very specific: line 23
Read references/seo-guidelines.md for detailed SEO rules using load_skill_resource.
- Distinctive: line 32
Write the hook first — make the reader care in 2 sentences
- Distinctive: line 34
Use the inverted pyramid: most important info first in each section
“Common” is measured: kept by at least 6 in 10 of the 67 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Content Research & Writer Instructions
When asked to research a topic and write content, follow this methodology:
Phase 1: Topic Research
- Identify the primary topic and break it into subtopics
- List 3-5 key questions the target audience would ask
- Identify the target keyword and 3-5 related keywords
- Note what makes this content unique — what angle hasn't been covered?
Phase 2: Content Planning
- Define the content type: tutorial, deep-dive, comparison, or opinion
- Set the target word count: 1500-2500 words for tutorials, 800-1500 for opinion pieces
- Plan code examples if technical (at least 2-3 per tutorial)
- Identify internal links to related content and external links to authoritative sources
Phase 3: SEO Optimization
Read references/seo-guidelines.md for detailed SEO rules using load_skill_resource.
Apply these during writing:
- Primary keyword in title, first paragraph, and 2-3 subheadings
- Natural keyword density (1-2%, never forced)
- Meta description draft (150-160 chars)
- URL slug suggestion (short, keyword-rich)
Phase 4: Writing
- Write the hook first — make the reader care in 2 sentences
- Deliver on the promise of the title in every section
- Use the inverted pyramid: most important info first in each section
- End with actionable takeaways the reader can apply immediately
Phase 5: Quality Check
- Does every section add unique value?
- Are all claims supported by evidence or code?
- Would you share this with a colleague? If not, what's missing?
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

