On-demand research bundle for the Aria Creative Suite. An agent skill from pawbytes/skill-suites.
$ npx skills add pawbytes/skill-suites --skill paw-cra-content-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-content-research --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/pawbytes/skill-suites.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/creative/paw-cra-content-research .claude/skills/paw-cra-content-research && 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 "paw-cra-content-research" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-content-research into .claude/skills/paw-cra-content-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-content-research", 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/pawbytes/skill-suites/tree/main/src/creative/paw-cra-content-researchType 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 pawbytes/skill-suites --skill paw-cra-content-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-content-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/creative/paw-cra-content-research .agents/skills/paw-cra-content-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paw-cra-content-research" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-content-research into .agents/skills/paw-cra-content-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-content-research", 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 pawbytes/skill-suites --skill paw-cra-content-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-content-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/creative/paw-cra-content-research .cursor/skills/paw-cra-content-research && 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 "paw-cra-content-research" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-content-research into .cursor/skills/paw-cra-content-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-content-research", 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/pawbytes/skill-suites.git --path src/creative/paw-cra-content-research--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 pawbytes/skill-suites --skill paw-cra-content-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-content-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/creative/paw-cra-content-research .gemini/skills/paw-cra-content-research && 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 "paw-cra-content-research" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-content-research into .gemini/skills/paw-cra-content-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-content-research", 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 pawbytes/skill-suites paw-cra-content-researchInstalls 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 pawbytes/skill-suites --skill paw-cra-content-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/creative/paw-cra-content-research .github/skills/paw-cra-content-research && 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 "paw-cra-content-research" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-content-research into .github/skills/paw-cra-content-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-content-research", 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 pawbytes/skill-suites --skill paw-cra-content-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pawbytes/skill-suites paw-cra-content-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pawbytes/skill-suites.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/creative/paw-cra-content-research .opencode/skills/paw-cra-content-research && 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 "paw-cra-content-research" agent skill from https://github.com/pawbytes/skill-suites/tree/main/src/creative/paw-cra-content-research into .opencode/skills/paw-cra-content-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paw-cra-content-research", 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.
paw-cra-content-researchOn-demand research bundle for the Aria Creative Suite. An agent skill from pawbytes/skill-suites.
Paw Cra Content Research is an agent skill from pawbytes/skill-suites. On-demand research bundle for the Aria Creative Suite. Use when any agent needs competitor analysis, trend research, or content opportunity scanning to inform visual/video production.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/competitor-scan.md`, `references/production-recommendations.md` and `references/report-template.md`).
It sits in Marketing & SEO, covering Accessibility, Competitor analysis and Video production. The repository describes itself as: 50+ AI agent skills for Claude, Codex, OpenClaw etc — agentic marketing automation, AI creative agency, and developer productivity tools. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 547a6df. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Paw Cra Content Research loads about 2.1k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 950 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 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.
The full file from pawbytes/skill-suites at commit 547a6df, republished under its MIT licence (© pawbytes). 950 words, ~2,135 tokens.
.claude/skills/paw-cra-content-research/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This workflow produces an actionable research bundle — competitor analysis, trend spotting, and content opportunity identification — that feeds directly into visual and video production. It is a service workflow invoked on-demand by any Aria Creative Suite agent (Strategist, Designer, Video Producer, or Aria herself) when research context is needed to inform creative decisions.
The output is not academic research. Every finding translates into a specific production recommendation: a design brief the Designer can act on, a video format the Video Producer can storyboard, a content angle with hook and platform guidance. If a finding does not lead to a "make this" recommendation, it is context, not output.
Args: Accepts --headless or -H for autonomous execution. Supports scoped research via --scope competitor, --scope trend, --scope content, or --scope all (default).
Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml (root level and cra section). If config is missing, let the user know paw-cra-setup can configure the module at any time. Resolve:
{user_name} (null) — address the user by name{communication_language} (system) — use for all communications{document_output_language} (system) — use for generated document content{default_brand} (null) — default brand to research if none specifiedLoad shared agency memory from {project-root}/.pawbytes/creative-suites/index.md. If a brand context is active or specified, load {project-root}/.pawbytes/creative-suites/brands/{brand-name}/guidelines.md and any existing research in {project-root}/.pawbytes/creative-suites/brands/{brand-name}/research/.
If --headless, complete the full pipeline without interaction using the active brand and scope from args. If interactive, greet and confirm research parameters before proceeding.
Parse the research request:
| Parameter | Source | Fallback |
|---|---|---|
| Brand | Explicit request or --brand arg | {default_brand} or active brand from index.md |
| Scope | --scope arg or explicit request | all (competitor + trend + content) |
| Focus areas | Explicit questions or topics | Derive from brand guidelines (industry, audience, competitors) |
| Target platforms | Explicit or from brand guidelines | Instagram, TikTok, YouTube, LinkedIn |
If interactive: confirm parameters and ask if there are specific questions or competitors to prioritize. If headless: proceed with available context.
Load from {project-root}/.pawbytes/creative-suites/brands/{brand-name}/:
guidelines.md — brand identity, voice, visual style, industry, audienceresearch/ — any prior research reports (avoid redundant work, build on existing findings)If no brand exists at the expected path, abort with a clear message suggesting brand onboarding through Aria.
Load ./references/competitor-scan.md for detailed research guidance.
Use Exa MCP tools to analyze 3-5 competitors across:
Production lens: For every competitor insight, note what it means for Designer and Video Producer. "Competitor X uses bold typography overlays on Reels" is more useful than "Competitor X has strong video presence."
Load ./references/trend-analysis.md for detailed research guidance.
Search for trends relevant to the brand's industry and audience:
Classify each trend: Fad (<3 months), Trend (6-18 months), Movement (2+ years), Declining (avoid).
Cross-reference competitor gaps with trending topics to find exploitable angles:
Produce an angle shortlist — 5-10 specific content angles, each with:
This is the most critical output section. Translate every research finding into briefs that Designer and Video Producer can act on directly.
Load ./references/production-recommendations.md for recommendation templates.
For each recommended angle, produce:
Design briefs (for Designer):
Video briefs (for Video Producer):
Platform-specific notes:
Produce research-report.md following the structure in ./references/report-template.md.
The report consolidates all findings into a scannable document with:
Write the report to {project-root}/.pawbytes/creative-suites/brands/{brand-name}/research/research-report.md with frontmatter:
---
created: YYYY-MM-DDTHH:MM:SSZ
brand: {brand-name}
scope: {scope}
type: research
---If scope-specific reports were generated, also save:
competitor-analysis.md (scope: competitor or all)trend-analysis.md (scope: trend or all)content-opportunities.md (scope: content or all)Append to {project-root}/.pawbytes/creative-suites/daily/YYYY-MM-DD.md:
## [Strategist] HH:MM - Content Research Complete
- Brand: {brand-name}
- Scope: {scope}
- Key findings: {2-3 bullet summary}
- Angles identified: {count}
- Report: .pawbytes/creative-suites/brands/{brand-name}/research/research-report.mdIf interactive: present the angle shortlist and ask which angles to prioritize for production. Suggest routing to Designer or Video Producer with the relevant briefs.
If headless: report completion and file locations. The calling agent reads the report from memory.
| Tool | Use |
|---|---|
web_search_exa | Competitor discovery, trend scanning, industry analysis |
crawling_exa | Deep page content extraction from competitor sites |
get_code_context_exa | Technical/platform documentation lookup |
If Exa MCP is unavailable, use the Web Search tool for the same research queries.
For social media content behind login gates (Instagram feeds, TikTok For You, LinkedIn). Only use if agent-browser is available and auth sessions exist at {project-root}/.pawbytes/creative-suites/.auth/.
© pawbytes, 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 4 other files (references) in src/creative/paw-cra-content-research of pawbytes/skill-suites.
Open the folder on GitHubat commit 547a6df
Paw Cra Content Research 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 |
|---|---|---|---|---|---|---|
| Paw Cra Content Research this skillpawbytes/skill-suites | 113 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Sealeap Suanni Amazon Aplus Brand Story Videoxjli360/sealeap-amazon-skills | 251 | — | ~783 | Automated safety check: Pass | MIT | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor ProfilingNexus-JPF/note-companion | 870 | 4 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Startup Competitorsferdinandobons/startup-skill | 1.2k | — | ~4.1k | Automated safety check: Pass | MIT |
xjli360/sealeap-amazon-skills
Prepare, submit and verify Amazon A+ content, Brand Story and product video for a listing: confirm eligibility and module set, benchmark competitor page structure, brief creative assets in the…
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
Nexus-JPF/note-companion
When the user wants to research, profile, or analyze competitors from their URLs.
ferdinandobons/startup-skill
Deep competitive intelligence for any market. An agent skill from ferdinandobons/startup-skill.
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
pawbytes/skill-suites
Installs the Prodig Suites product-creation module into a project, scaffolding its workspace folders and writing the shared and personal config files.
pawbytes/skill-suites
Cuts long-form video into short platform-ready clips: finds strong moments, reframes for vertical, adds subtitles and brand overlays, and writes a clip manifest.
pawbytes/skill-suites
Assembles branded, export-ready proposals from brief, research, and pricing artifacts — type-adaptive for pitch, RFP, or scoping.
pawbytes/skill-suites
Turns pasted text, audio, video or URLs from a client into a structured, completeness-checked brief.md for the first stage of a proposal pipeline.
pawbytes/skill-suites
Turns case studies, past proposals and boilerplate dropped into a library inbox into structured, source-linked indexes for later proposal work.
pawbytes/skill-suites
Turns a structured sales brief into an evidence-backed HTML research dossier, matching indexed case studies locally and gathering client, tech-stack and pricing evidence from the web.
Categories
On-demand research bundle for the Aria Creative Suite. An agent skill from pawbytes/skill-suites. Paw Cra Content Research is an agent skill from pawbytes/skill-suites. On-demand research bundle for the Aria Creative Suite.
Paw Cra Content Research fits situations like: any agent needs competitor analysis; content opportunity scanning to inform visual/video production.
Run `npx skills add pawbytes/skill-suites --skill paw-cra-content-research -a claude-code`. Or copy the skill folder (src/creative/paw-cra-content-research in pawbytes/skill-suites) into .claude/skills/paw-cra-content-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pawbytes/skill-suites --skill paw-cra-content-research -a codex`. Or copy the skill folder (src/creative/paw-cra-content-research in pawbytes/skill-suites) into .agents/skills/paw-cra-content-research 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 pawbytes/skill-suites --skill paw-cra-content-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paw-cra-content-research, .gemini/skills/paw-cra-content-research, .github/skills/paw-cra-content-research and .opencode/skills/paw-cra-content-research in your project.
SKILL.md names no scripts, command-line tools or credentials: Paw Cra Content Research is instructions for the agent only.
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.
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.
Paw Cra Content Research 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 8.5k 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 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Paw Cra Content Research: Sealeap Suanni Amazon Aplus Brand Story Video (xjli360/sealeap-amazon-skills, 251 stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars) and Competitor Profiling (Nexus-JPF/note-companion, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pawbytes (a GitHub organization) maintains it in pawbytes/skill-suites, which has 113 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on October 3, 2026.
Source: pawbytes/skill-suites on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
