Initial commit: Hermes Agent Skills collection
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---
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name: tech-pov
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description: "Give a decisive, project-grounded verdict on whether to adopt, switch to, or revisit a technology, library, pattern, or platform. Judged against THIS project, not in the abstract. Use for technology adoption decisions."
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version: 1.0.0
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author: Hermes Agent (merged from Every Inc compound-engineering ce-pov)
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license: MIT
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metadata:
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hermes:
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tags: [decision, evaluation, technology, verdict, compound-engineering]
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related_skills: [brainstorming, plan, compound-learning]
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---
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# Technology Point of View
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Return a decisive, **graded verdict** on something from the outside world — judged against *this project*, not in the abstract.
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**The one rule that is the whole moat:** Do not issue a verdict you did not earn against the project's own context. Generic web research already covers "tell me about X". The differentiator is the refusal to answer in the abstract.
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## When to Use
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- "Should we adopt/switch to/migrate to technology X?"
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- "Is it time to revisit our choice of Y?"
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- "Does this CVE/deprecation/ecosystem-shift affect us?"
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- "Compare X vs what we already use — is it worth switching?"
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**Not for:** neutral explainers, generating options (use `ideate`), or scoping what to build (use `brainstorming`).
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## The Two Floors
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A valid verdict must clear **two absolute floors**:
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1. **Project floor** — a concrete verified project fact: a named incumbent + a touchpoint (where does X interact with our code?), or the verified absence of one + where it would fit, or a prior decision about it
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2. **External floor** — at least one verified external source (docs, changelog, benchmark, CVE)
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Both floors are independent. Strong external evidence never compensates for a thin project leg, and vice versa. Neither conversation claims nor user assertions substitute for grounding.
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## The Process
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### Phase 0: Frame and Classify
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1. **Detect invocation context:**
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- Cold: user asks about adopting/switching to X
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- Warm: mid-session second opinion ("is X relevant to what we're doing?")
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2. **Establish the frame** — orient before researching:
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- What is the candidate? (named technology/library/pattern)
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- What is the intent? (adopt / migrate / compare / is-this-our-problem)
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- If ambiguous, ask one clarifying question
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3. **Classify reversibility tier:**
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| Tier | Description | Examples | Scout Depth |
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|---|---|---|---|
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| **Tier 1** | Two-way door, trivially reversible | Dependency, lint rule, config | Single grounding pass |
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| **Tier 2** | One-way but bounded blast radius | Data store, internal API, in-codebase migration | Full scout fleet |
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| **Tier 3** | One-way, high-stakes | Security, legal, public API, irreversible data migration | Deep research + precedent search |
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State the tier. Let the user override.
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### Phase 1: Ground (dispatch scouts)
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Grounding searches code, git, issue tracker, and docs. Dispatch to subagents so the raw search doesn't flood your context.
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**For Tier 1** — single combined pass:
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- One `delegate_task` for project facts (incumbent, call sites)
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- One `delegate_task` for external evidence (docs, benchmarks)
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**For Tier 2/3** — full fleet in parallel:
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```python
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delegate_task(tasks=[
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{
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"goal": "Project grounding: find the named incumbent for [candidate] in this codebase. Find call sites, configuration, and usage patterns. Report: what we currently use, where, and any pain points.",
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"context": "Candidate: [X]. Search the codebase for the current solution and its footprint.",
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"toolsets": ["terminal", "file"]
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},
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{
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"goal": "Precedent scan: search docs/solutions/, ADRs, design docs for prior decisions about [candidate] or its category.",
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"context": "Search for any previous evaluation or decision about [X] or similar technologies.",
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"toolsets": ["file"]
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},
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{
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"goal": "External evidence: research [candidate] — current version, stability, licensing, known issues, migration cost, community health, benchmarks.",
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"context": "Evaluate [X] externally: version, license, issues, migration difficulty, alternatives.",
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"toolsets": ["web"]
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}
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])
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```
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For Tier 3, add: mandatory two-source corroboration on every load-bearing claim.
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### Phase 2: Verify Against the Two Floors
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Check the grounding:
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- **Project floor met?** Is there a verified project fact (incumbent + touchpoint)?
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- **External floor met?** Is there at least one verified external source?
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If either floor fails → return Hold, not a verdict.
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### Phase 3: Emit the Verdict
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The verdict is a compact chat block, not a research report. Size it to the tier.
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```markdown
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## Verdict: [Candidate]
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**Grade:** ADOPT | TRIAL | HOLD | REJECT | NOT-OUR-PROBLEM
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**Reversibility:** Tier [1/2/3]
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### Project Fit
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[How does X fit our current stack? What does it replace/augment?]
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### Migration Cost
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[Effort estimate, risk, blast radius]
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### Evidence
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- [Verified source 1: what it says]
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- [Verified source 2: what it says]
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### Conditions
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[Any prerequisites, caveats, or concerns]
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### Confidence
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[High/Medium/Low] — [why]
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```
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### Grade Definitions
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| Grade | Meaning | Next Step |
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|---|---|---|
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| **ADOPT** | Worth committing to now | → `plan` to scope the adoption |
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| **TRIAL** | Promising but unproven for us | → Timeboxed spike via `subagent-driven-development` |
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| **HOLD** | Not now, revisit later | → No action, document the decision |
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| **REJECT** | Not worth it for this project | → No action, document why |
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| **NOT-OUR-PROBLEM** | External change doesn't affect us | → No action |
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### Phase 4: Follow-up
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Offer next steps based on the grade:
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- **ADOPT, scope clear** → suggest `plan`
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- **ADOPT, scope fuzzy** → suggest `brainstorming`
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- **TRIAL** → suggest a timeboxed spike
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- **HOLD/REJECT/NOT-OUR-PROBLEM** → done, optionally capture via `compound-learning`
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For Tier 1 or REJECT: end with a single prose line, no menu.
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For Tier 2/3 with actionable grade: offer the computed next step as the first option.
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## Pitfalls
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- **Don't issue abstract verdicts** — "X is generally good" is useless; "X fits our project because..." is the point
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- **Don't skip the project floor** — strong external evidence doesn't compensate for not knowing how X interacts with OUR code
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- **Don't over-research Tier 1** — a trivially reversible decision doesn't need a full scout fleet
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- **Don't under-research Tier 3** — security/legal/public API decisions need deep diligence
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- **Don't present a research report** — lead with the verdict grade, cite evidence, don't paste raw search output
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## Integration with Other Skills
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- **brainstorming** — routes verdict-shaped questions here (Phase 6.5)
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- **plan** — receives ADOPT verdicts to scope the implementation
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- **compound-learning** — captures tooling decisions for future reference
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- **ideate** — for open-ended "what should we use for X?" (this skill is for bounded choices)
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## Hermes Agent Integration
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- `delegate_task` — dispatch grounding scouts in parallel
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- `search_files` — find incumbents and prior decisions in the codebase
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- `read_file` — read existing solutions/ADRs
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- `terminal` — git log, dependency analysis
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- Web tools — external research (docs, benchmarks, CVEs)
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## Remember
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```
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Two floors: project fact + external source
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Grade, don't explain
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Size the verdict to the reversibility tier
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Lead with the grade, cite evidence
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Never issue a verdict you didn't earn against this project
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```
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