Product Development
gustavscirulis/snapgrid
End-to-end product development for iOS/macOS apps. An agent skill from gustavscirulis/snapgrid.
Agent skill
Prd V02 Competitive Landscape Mapping
by mattgierhart in mattgierhart/PRD-driven-context-engineering
Map the competitive landscape before positioning your product for PRD v0.2 Market Definition.
Install Prd V02 Competitive Landscape Mapping
$ npx skills add mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mattgierhart/PRD-driven-context-engineering prd-v02-competitive-landscape-mapping --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/mattgierhart/PRD-driven-context-engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/prd-v02-competitive-landscape-mapping .claude/skills/prd-v02-competitive-landscape-mapping && 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 "prd-v02-competitive-landscape-mapping" agent skill from https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v02-competitive-landscape-mapping into .claude/skills/prd-v02-competitive-landscape-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prd-v02-competitive-landscape-mapping", 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/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v02-competitive-landscape-mappingType 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 mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mattgierhart/PRD-driven-context-engineering prd-v02-competitive-landscape-mapping --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/prd-v02-competitive-landscape-mapping .agents/skills/prd-v02-competitive-landscape-mapping && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prd-v02-competitive-landscape-mapping" agent skill from https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v02-competitive-landscape-mapping into .agents/skills/prd-v02-competitive-landscape-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prd-v02-competitive-landscape-mapping", 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 mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mattgierhart/PRD-driven-context-engineering prd-v02-competitive-landscape-mapping --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/prd-v02-competitive-landscape-mapping .cursor/skills/prd-v02-competitive-landscape-mapping && 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 "prd-v02-competitive-landscape-mapping" agent skill from https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v02-competitive-landscape-mapping into .cursor/skills/prd-v02-competitive-landscape-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prd-v02-competitive-landscape-mapping", 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/mattgierhart/PRD-driven-context-engineering.git --path .claude/skills/prd-v02-competitive-landscape-mapping--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 mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mattgierhart/PRD-driven-context-engineering prd-v02-competitive-landscape-mapping --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/prd-v02-competitive-landscape-mapping .gemini/skills/prd-v02-competitive-landscape-mapping && 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 "prd-v02-competitive-landscape-mapping" agent skill from https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v02-competitive-landscape-mapping into .gemini/skills/prd-v02-competitive-landscape-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prd-v02-competitive-landscape-mapping", 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 mattgierhart/PRD-driven-context-engineering prd-v02-competitive-landscape-mappingInstalls 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 mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/prd-v02-competitive-landscape-mapping .github/skills/prd-v02-competitive-landscape-mapping && 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 "prd-v02-competitive-landscape-mapping" agent skill from https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v02-competitive-landscape-mapping into .github/skills/prd-v02-competitive-landscape-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prd-v02-competitive-landscape-mapping", 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 mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mattgierhart/PRD-driven-context-engineering prd-v02-competitive-landscape-mapping --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/prd-v02-competitive-landscape-mapping .opencode/skills/prd-v02-competitive-landscape-mapping && 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 "prd-v02-competitive-landscape-mapping" agent skill from https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v02-competitive-landscape-mapping into .opencode/skills/prd-v02-competitive-landscape-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prd-v02-competitive-landscape-mapping", 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
prd-v02-competitive-landscape-mapping- GitHub stars
- 180
- Token cost
- ~2.3k tokens
- SKILL.md length
- 728 words
- Files
- 5 (incl. references, assets)
- Skills in repo
- 45
- Repo updated
- First seen
- Licence
- MIT
At a glance
Map the competitive landscape before positioning your product for PRD v0.2 Market Definition.
- Works in 5 steps: Document Current Behavior → Competitor Discovery → Gap Analysis → …
- Completing v0.1 Spark
- SKILL.md covers Workflow Position, Consumes, Produces and Workflow Overview, plus 10 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prd V02 Competitive Landscape Mapping is an agent skill from mattgierhart/PRD-driven-context-engineering. Map the competitive landscape before positioning your product for PRD v0.2 Market Definition. Triggers on completing v0.1 Spark, analyzing competitors, researching market, or requests like "competitive analysis", "who else solves this", "market landscape", "what alternatives exist", "competitor research", "feature comparison". Outputs CFD- entries for competitive intelligence and BR- entries for positioning rules.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files and assets (for example `assets/feature-matrix.md`, `assets/landscape.md` and `references/examples.md`).
It sits in Product & Project Management, covering Competitor analysis, PRD writing and Physical and earth sciences. The repository describes itself as: PRD-Led Context Engineering — Memory as Infrastructure. An ontology layer for product teams building products that solve real problems — with AI agents that remember. Gated PRD… The licence is MIT.
When your agent uses it
- Completing v0.1 Spark
- Analyzing competitors
- Researching market
- Requests like competitive analysis
Example prompts
- “competitive analysis”
- “who else solves this”
- “market landscape”
- “/prd-v02-competitive-landscape-mapping”
Requirements
- Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, WebSearch, WebFetch
Workflow steps
5 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 30ed1b0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGlobGrepWebSearchWebFetch
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 markdown).
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
Prd V02 Competitive Landscape Mapping loads about 2.3k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 728 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 mattgierhart/PRD-driven-context-engineering at commit 30ed1b0, republished under its MIT licence (© mattgierhart). 728 words, ~2,327 tokens.
Download SKILL.mdSave it as
.claude/skills/prd-v02-competitive-landscape-mapping/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- prd-v02-competitive-landscape-mapping
- description
- Map the competitive landscape before positioning your product for PRD v0.2 Market Definition. Triggers on completing v0.1 Spark, analyzing competitors, researching market, or requests like "competitive analysis", "who else solves this", "market landscape", "what alternatives exist", "competitor research", "feature comparison". Outputs CFD- entries for competitive intelligence and BR- entries for positioning rules.
- allowed-tools
- Read, Write, Edit, Glob, Grep, WebSearch, WebFetch
- context
- fork
Competitive Landscape Mapping
Understand market reality before defining your position.
Workflow Position
v0.1 Spark (Problem + Value) → Competitive Landscape Mapping → Product Type Classification
(what hurts) (who else solves it) (how we compete)Consumes
This skill requires prior work from v0.1:
- **CFD-* entries (problem statements, from Problem Framing) — Evidence for what users need/want
- **CFD-* entries (value hypotheses, from User Value Articulation) — Desired outcomes users are seeking
- PRD.md Why section — Problem framing and market signals
This skill assumes v0.1 Spark is complete (both problem and value).
Produces
This skill creates/updates:
- CFD-* entries (competitive intelligence) — Analysis of direct competitors, adjacent solutions, workarounds
- BR-* entries (positioning rules) — Constraints derived from landscape analysis
- Landscape map artifact — Current behavior documentation, feature matrix, 1% better hypothesis
All CFD competitive intelligence entries should include:
confidence: 2-3/5(based on evidence tier from public sources + user validation)- Evidence source (G2 reviews, pricing pages, user interviews, etc.)
- Forward target: "Would move to 4/5 if we validate gap with 5+ target users"
Example competitive intelligence entry:
CFD-042: Competitive Intelligence — Competitor Landscape Analysis
Type: Competitive Intelligence
Date: 2026-02-01
Confidence: 3/5 (source: public-research + 3-customer-interviews)
Competitors Analyzed: 4 direct + 2 adjacent
Primary Gap: All competitors require enterprise licensing; SMB segment underserved
Feature Matrix: [Link to matrix]
1% Hypothesis: "SMB sales teams can get 80% of [Competitor A] features for 40% of price"
Evidence:
- CFD-001: 3 SMB teams paying $500/mo but using only 5 of 20 features
- CFD-015: Value hypothesis shows $12,500/year need for core 5 features only
Next Target: "Would move to 4/5 if we validate with 5+ SMB prospects willing to pay $200/mo"Workflow Overview
- Document current behavior → What users do TODAY (before competitor search)
- Discover alternatives → Direct, adjacent, workarounds, "do nothing"
- Analyze gaps → Industry/geography gaps, underserved segments
- Compare features → Build comparison matrix
- Form hypothesis → 1% better hypothesis with evidence
Core Output Template
| Element | Definition | Evidence |
|---|---|---|
| Current Behavior | How users solve this today | Observed workflow |
| Direct Competitors | Products solving same problem | Revenue/funding proof |
| Adjacent Solutions | Products solving related problems | User overlap |
| Workarounds | DIY solutions (spreadsheets, manual) | Forum/reddit mentions |
| Feature Matrix | Side-by-side capability comparison | Product documentation |
| Gap Analysis | Where competition is weak | Reviews, complaints |
| 1% Hypothesis | How we win | Evidence-anchored |
See assets/landscape.md for copy-paste template.
Step 1: Document Current Behavior
Before searching competitors, document what target users do TODAY.
Capture Format
Current Behavior: [What they do]
Tools Used: [Existing tools, if any]
Time Investment: [Hours/week on workaround]
Pain Points: [From v0.1 CFD-IDs]Why First?
- Prevents solution bias from competitor features
- Reveals workarounds competitors might miss
- Establishes true baseline for improvement claims
Step 2: Competitor Discovery
Discovery Categories
| Category | Definition | Search Strategy |
|---|---|---|
| Direct | Same problem, same segment | "[problem] software" |
| Adjacent | Related problem, potential pivot | "[related workflow] tool" |
| Workarounds | DIY solutions | Reddit: "how I [task]" |
| Do Nothing | Accept status quo | Why hasn't this been solved? |
Minimum Discovery Checklist
- 3+ direct competitors (or document why fewer exist)
- 2+ adjacent solutions
- 1+ workaround documented
- "Do nothing" cost quantified
Create CFD Entry Per Competitor
CFD-###: Competitor — [Name]
Type: Competitive Intelligence
Source: [Website, G2, Crunchbase]
Date: YYYY-MM-DD
Overview: [1-2 sentences]
Target Segment: [Who they serve]
Pricing: [Model and range]
Revenue/Funding: [If available]
Key Differentiator: [Their claim]
Weakness Signals: [Reviews, complaints]Step 3: Gap Analysis
Industry/Geography Gap Table
| Industry | Competitors Serving | Gap Level |
|---|---|---|
| [Industry 1] | X of Y | None / Small / Large |
| [Industry 2] | X of Y | None / Small / Large |
Segment Gap Table
| Segment | Served By | Underserved Signal |
|---|---|---|
| Enterprise | [List] | [Signal or "Well served"] |
| Mid-Market | [List] | [Signal or "Well served"] |
| SMB | [List] | [Signal or "Well served"] |
| Prosumer | [List] | [Signal or "Well served"] |
Underserved Signals
- Tier 1: Users paying but complaining (G2 reviews)
- Tier 2: Users building workarounds (Reddit, forums)
- Tier 3: Users asking for solutions (community posts)
- Tier 4: No apparent demand (caution)
Show full SKILL.md (284 more words)Show less
Step 4: Feature Comparison Matrix
Build side-by-side comparison:
| Feature | Us (Planned) | Competitor A | Competitor B | Gap |
|---|---|---|---|---|
| [Feature 1] | ✅/❌/🔄 | ✅/❌ | ✅/❌ | [Our advantage] |
| [Feature 2] | ✅/❌/🔄 | ✅/❌ | ✅/❌ | [Our advantage] |
Legend: ✅ = Has | ❌ = Missing | 🔄 = Planned
Matrix Requirements
- Include all "table stakes" features (what everyone has)
- Identify 1-3 differentiating features
- Note pricing tier where features unlock
- Flag features competitors are building (roadmap signals)
Step 5: 1% Better Hypothesis
Template
We can be 1% better than [Competitor X] by [specific improvement] for [specific segment].
Evidence:
- [CFD-ID]: [Supporting evidence]
- [CFD-ID]: [Supporting evidence]
Why This Matters:
- [Segment] cares about this because [reason]
- Current solutions fail at this because [reason]
Risk:
- [What could invalidate this hypothesis]Hypothesis Quality Check
- "1% better" is specific and measurable
- References CFD-IDs for evidence
- Targets a defined segment
- Explains WHY this gap exists
- Acknowledges risks
Quality Gates
Pass Checklist
- ≥3 competitors documented with CFD-IDs
- Feature matrix with ≥5 compared features
- ≥1 gap identified with Tier 1-2 evidence
- 1% better hypothesis formed
- Current behavior documented FIRST
Testability Check
- Can validate 1% hypothesis in <30 days?
- Can find 10 people in target segment?
- Gap evidence is from users, not assumptions?
Anti-Patterns
| Pattern | Signal | Fix |
|---|---|---|
| Competitor-first thinking | Started with competitor features | Document current behavior first |
| False uniqueness | "No competitors" claim | Include workarounds and adjacent |
| Feature bloat | Matrix has 20+ features | Focus on differentiators |
| Vague gaps | "Better UX" without evidence | Add specific user complaint |
| 10x claims | "10x better than X" | Start with 1% provable claim |
| Ignored workarounds | Only listed software competitors | Include spreadsheets, manual |
CFD/BR Output Format
CFD Entry (Competitive Intelligence)
CFD-###: Competitive Intelligence — [Market/Segment]
Type: Competitive Intelligence
Date: YYYY-MM-DD
Competitors Analyzed: [Count]
Primary Gap: [Description]
Evidence Tier: [1-5]
Feature Matrix: [Link or inline]
1% Hypothesis: [Statement]BR Entry (Positioning Rule)
BR-###: Positioning Rule — [Title]
Type: Business Rule
Source: CFD-###
Date: YYYY-MM-DD
Rule: [Specific constraint derived from landscape]
Rationale: [Why this matters]
Applies To: [Scope]Bundled Resources
references/research-prompts.md— Deep research templates for competitor discovery and gap analysis.references/examples.md— Good/bad competitive analysis examples.assets/landscape.md— Copy-paste template for landscape mapping.assets/feature-matrix.md— Feature comparison matrix template.
Handoff
Competitive landscape complete when quality gates pass. Landscape map informs:
- Product Type Classification (next skill) — What type are we? Clone, Slice, etc.
- v0.3 Pricing — Competitive pricing anchors
- v0.3 Moat — Where competitors are weak
Next: Product Type Classification (How should we compete based on landscape?)
© mattgierhart, 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 4 other files (references, assets) in .claude/skills/prd-v02-competitive-landscape-mapping of mattgierhart/PRD-driven-context-engineering.
- SKILL.md
- assets/feature-matrix.md
- assets/landscape.md
- references/examples.md
- references/research-prompts.md
Open the folder on GitHubat commit 30ed1b0
Compare with similar skills
Prd V02 Competitive Landscape Mapping 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 |
|---|---|---|---|---|---|---|
| Prd V02 Competitive Landscape Mapping this skillmattgierhart/PRD-driven-context-engineering | 180 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Product Developmentgustavscirulis/snapgrid | 116 | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| PRD GeneratorFokkyp/claude-skills | 226 | — | ~1.9k | Automated safety check: Pass | None | |
| Product Managementooiyeefei/ccc | 495 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Product Competitive AnalysisFokkyp/claude-skills | 226 | — | ~1.2k | Automated safety check: Pass | None | |
| Screenshot Feature Extractordavila7/claude-code-templates | 33k | 1 repos | ~1.1k | Automated safety check: Pass | MIT |
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Related
Questions about Prd V02 Competitive Landscape Mapping
What does Prd V02 Competitive Landscape Mapping do?
Map the competitive landscape before positioning your product for PRD v0.2 Market Definition. Prd V02 Competitive Landscape Mapping is an agent skill from mattgierhart/PRD-driven-context-engineering.2 Market Definition.
When should I use Prd V02 Competitive Landscape Mapping?
Prd V02 Competitive Landscape Mapping fits situations like: completing v0.1 Spark; analyzing competitors; researching market; requests like competitive analysis.
How do I install Prd V02 Competitive Landscape Mapping in Claude Code?
Run `npx skills add mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a claude-code`. Or copy the skill folder (.claude/skills/prd-v02-competitive-landscape-mapping in mattgierhart/PRD-driven-context-engineering) into .claude/skills/prd-v02-competitive-landscape-mapping in your project. Claude Code loads it when a task matches its description.
How do I install Prd V02 Competitive Landscape Mapping in Codex?
Run `npx skills add mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a codex`. Or copy the skill folder (.claude/skills/prd-v02-competitive-landscape-mapping in mattgierhart/PRD-driven-context-engineering) into .agents/skills/prd-v02-competitive-landscape-mapping in your project. Codex loads it when a task matches its description.
Can I use Prd V02 Competitive Landscape Mapping 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 mattgierhart/PRD-driven-context-engineering --skill prd-v02-competitive-landscape-mapping -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prd-v02-competitive-landscape-mapping, .gemini/skills/prd-v02-competitive-landscape-mapping, .github/skills/prd-v02-competitive-landscape-mapping and .opencode/skills/prd-v02-competitive-landscape-mapping in your project.
What does Prd V02 Competitive Landscape Mapping need to run?
SKILL.md names no scripts, command-line tools or credentials: Prd V02 Competitive Landscape Mapping is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, WebSearch, WebFetch.
Does Prd V02 Competitive Landscape Mapping 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 Prd V02 Competitive Landscape Mapping 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 Prd V02 Competitive Landscape Mapping use?
Prd V02 Competitive Landscape Mapping 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 Prd V02 Competitive Landscape Mapping use?
About 2.3k tokens (SKILL.md is roughly 9.3k 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.
What are the alternatives to Prd V02 Competitive Landscape Mapping?
Skills that share tags, products or a category with Prd V02 Competitive Landscape Mapping: Product Development (gustavscirulis/snapgrid, 116 stars), PRD Generator (Fokkyp/claude-skills, 226 stars), Product Management (ooiyeefei/ccc, 495 stars) and Product Competitive Analysis (Fokkyp/claude-skills, 226 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prd V02 Competitive Landscape Mapping?
mattgierhart (a GitHub user) maintains it in mattgierhart/PRD-driven-context-engineering, which has 180 GitHub stars. The repository holds 45 skills in this directory. The repository was last updated on August 31, 2026.
Source: mattgierhart/PRD-driven-context-engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.