| name | kiss-tech-research |
| description | Researches technology options for a named decision area (frontend framework, database, messaging, identity, etc.) using WebSearch / WebFetch when available. Produces a pros/cons table + typical cost signal per candidate. Records sources. Does not pick the winner. Use when evaluating technology choices, comparing frameworks or databases, or before writing an ADR for a technology decision. |
| compatibility | Requires kiss project structure with .kiss/ directory |
| metadata | {"author":"github-kiss","source":"agent-skills/kiss-tech-research/kiss-tech-research.md"} |
User Input
$ARGUMENTS
Audience and tone (interactive mode)
When KISS_AGENT_MODE=interactive (the default), assume the user
has limited technical background and limited domain knowledge
— they may know basics but lack deep expertise in this skill's
area. Run this skill as a guided questionnaire:
- One question at a time. No walls of questions.
- Yes / no first. Phrase so
yes, no, not sure, or skip
is a valid answer.
- Translate jargon, don't strip it. Use the technical term but
always pair it with a plain-English gloss the first time it
appears.
- Choices, not blank fields. When yes/no isn't enough, offer
2-4 lettered options (A/B/C/D) with one-line plain-language
descriptions of the trade-off. Always include "Not sure — pick
a sensible default".
- Always recommend. State the option you would pick and why in
one sentence so the user can reply "yes" / "ok" to accept. Pull
defaults from upstream artefacts (spec, architecture, ADRs,
standards) before asking blank.
- Show, don't ask. When upstream artefacts already imply an
answer, propose it as a pre-filled finding and ask for a
yes / no confirmation rather than asking the user to fill in a
blank.
not sure / skip triggers a sensible default, marked
"(default applied — confirm later)" in the artefact, and a debt
entry in this skill's debt file.
When KISS_AGENT_MODE=auto (or --auto), skip the questionnaire
entirely: apply sensible defaults from upstream artefacts and log
decisions to the parent agent's decision log.
Inputs
.kiss/context.yml{context.paths.docs}/architecture/intake.md (constraints)
Outputs
{context.paths.docs}/research/<topic>.md (one file per topic)
Context Update
Does not mutate .kiss/context.yml.
Handoffs
kiss-adr references research files as evidence in the
"Decision" section.
AI authoring scope
Does: pull current facts via WebSearch/WebFetch (when tools
available); summarise 2–4 candidates in a pros/cons table; record
sources with dates fetched.
Does not: recommend a winner; invent figures; rely on training
data for versioned facts (licensing, pricing, version numbers).
Usage
<SKILL_DIR> = the integration's skills root (e.g. .claude/skills/
for Claude Code, .agents/skills/ for Antigravity / Codex,
.cursor/skills/ for Cursor, .windsurf/workflows/ for Windsurf).
Scripts live at <SKILL_DIR>/<skill-name>/scripts/….
TR_TOPIC=database TR_CANDIDATES="PostgreSQL,MySQL,SQL Server,MongoDB" \
bash <SKILL_DIR>/kiss-tech-research/scripts/bash/draft-research.sh --auto
Answer keys
| Key | Meaning |
|---|
TR_TOPIC | decision area (database, frontend, identity, …) — required |
TR_CANDIDATES | comma-separated list — required |
