jubscodes/get-shit-pretty/gsp-brand-research

Claude Code and agent skill by jubscodes/get-shit-pretty

Trust tier 2
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Checking that the SKILL.md file is still in the repository.

Research market and competitors — use when: research competitors, who else is doing this, market analysis, what do competitors look like

Install

npx vskill@latest install jubscodes/get-shit-pretty/gsp-brand-research

SKILL.md

<context> Phase 1 of the GSP branding diamond. Researches market landscape, competitive positioning, and design trends to inform brand strategy. Personas are already defined in BRIEF.md — this phase validates and enriches the market context around them.

Prerequisites: /gsp-start must have run first to scaffold .design/branding/{brand}/BRIEF.md and config.json. Invoking this skill cold (no brand directory) exits with a one-line "run /gsp-start first" prompt — it does not bootstrap. </context>

<objective> Research market context that will inform brand strategy.

Input: .design/branding/{brand}/BRIEF.md Output: .design/branding/{brand}/discover/ (4 chunks + INDEX.md) Agent: gsp-brand-researcher </objective>

<rules>

  • Always use AskUserQuestion for user-facing questions — never raw text prompts
  • One decision per question — never batch multiple questions in a single message
  • Keep interactions concise — 1-2 exchanges max before spawning the agent
  • Artifacts must balance human readability with agent consumption for downstream phases

</rules>

<process>

Step 1: Resolve brand

Resolve brand from .design/branding/ (one → use it, multiple → ask). Set BRAND_PATH.

Read {BRAND_PATH}/BRIEF.md. If missing, tell user to run /gsp-start first. Read {BRAND_PATH}/config.json for brand_mode.

Step 2: Confirm research scope

Load BRIEF.md personas and competitive landscape. If {BRAND_PATH}/audit/ exists, also load audit/evolution-map.md and audit/market-fit.md.

Present a compact research plan, then use AskUserQuestion:

  • Looks good — "Start research with this scope"
  • Adjust — "I want to add competitors or shift emphasis"

Step 2.5: Pre-fetch competitor sites (background)

While preparing the agent context, use WebFetch with run_in_background: true for each competitor URL or website found in BRIEF.md's competitive landscape. This warms the cache so the researcher agent has content ready instead of fetching sequentially during research.

Step 3: Spawn researcher

Load references and agent methodology

Read these files and hold their content for inlining into the agent prompt:

  • ${CLAUDE_SKILL_DIR}/../../templates/phases/discover.md — discover output template
  • ${CLAUDE_SKILL_DIR}/design-trends.md — design trends index (agent loads specific trend files only after open research validates relevance)
  • ${CLAUDE_SKILL_DIR}/../gsp-style/styles/INDEX.yml — style presets index
  • ${CLAUDE_SKILL_DIR}/methodology/gsp-brand-researcher.md — agent methodology

Include any pre-fetched competitor content in the agent context.

Spawn the gsp-brand-researcher agent with:

  • BRIEF.md content
  • Content of discover output template (loaded above)
  • Content of design trends index (loaded above — reference only, agent loads specific trend files only after open research validates them)
  • Content of style presets index (loaded above) — agent matches research findings to existing aesthetics
  • User-confirmed scope adjustments
  • brand_mode from config.json
  • Agent methodology (loaded above)
  • Audit chunks if they exist
  • Output path: {BRAND_PATH}/discover/

The agent writes 4 chunks + INDEX.md:

  1. market-landscape.md
  2. competitive-audit.md
  3. trend-analysis.md
  4. mood-board-direction.md
  5. INDEX.md

Step 4: Update state

Update {BRAND_PATH}/STATE.md: set Phase 1 (Discover) to complete.

Step 5: Phase transition

Invoke /gsp-phase-transition with phase discover and output directory {BRAND_PATH}/discover/. </process>

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
43
Repository forks
4
Repository npm downloads, 7 days
59
7-day trend score
32

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 17 May 2026, 5 months ago.

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