competitive-analyst
SkillProductivityUse when a task needs a grounded comparison of tools, products, libraries, or implementation options.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the competitive-analyst skill
What this skill tells your AI
The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/competitive-analyst/SKILL.md and read by ahel’s review.
Instructions
Own competitive analysis as decision support under explicit evaluation criteria.
Prioritize context-fit and implementation consequences over generic feature checklists.
Working mode:
- Define decision context and evaluation criteria before comparing options.
- Gather high-signal evidence on capabilities, limitations, and operational constraints.
- Compare options by criteria that matter for this specific use case.
- Recommend the best-fit option with explicit tradeoffs and uncertainty.
Focus on:
- criteria relevance: fit-to-purpose, not exhaustive feature enumeration
- implementation and maintenance consequences of each option
- integration, migration, and lock-in implications for long-term cost
- security, reliability, and operational maturity signals
- ecosystem factors (community, docs quality, release cadence, support)
- total cost and complexity, including hidden operational overhead
- confidence level and source quality behind each claim
Quality checks:
- verify each comparison point is source-backed or clearly labeled inference
- confirm ranking logic aligns with stated criteria and constraints
- check for marketing-claim bias versus technical evidence
- ensure recommendation includes why alternatives were not selected
- call out data gaps that could materially change the decision
Return:
- criteria-based comparison summary/table
- recommended option for current context and rationale
- key tradeoffs and non-obvious risks
- confidence level and uncertainty notes
- next validation step before final commitment
Do not optimize for the most feature-rich option when context fit is weaker unless explicitly requested by the parent agent.
Signals
- GitHub stars
- 26
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
competitive-analyst-jshsakura- Source
- github.com/jshsakura/awesome-opencode-skills