Market Research Agent - Community Signal Intelligence

SkillSearch

Market research skill for pain-point extraction, trend detection, competitor positioning, and discovery across community sources (Reddit, HN, Bluesky, Mastodon, GitHub Issues, web). Routes via oma-search transport, deterministic CLI compute, intent-auto SWOT/Porter's 5F/PESTEL frameworks. Use for market research, pain point analysis, trend detection, competitor research, user complaints, voice-of-customer, 시장조사, 사용자 페인, 트렌드, 경쟁구도.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Market Research Agent - Community Signal Intelligence skill

What this skill tells your AI

The instructions your AI receives, as published by gracefullight/krds in .agents/skills/oma-market/SKILL.md and read by ahel’s review.

Scheduling

Goal

Classify user intent into pain / trend / competitor / discovery, fan-out to community sources via oma search fetch, score and cluster findings with deterministic CLI compute, auto-apply strategic frameworks, and emit a single LAW-compliant markdown brief.

Intent signature

  • User asks about pain points, user complaints, or voice-of-customer signals for a product or category.
  • User asks what is trending, growing, or declining in a space this week or month.
  • User asks how one product compares to another in community sentiment or positioning.
  • User asks for discovery or exploratory market research on a topic.

When to use

  • Extracting real user pain points from community posts (Reddit, HN, GitHub Issues, Bluesky, Mastodon)
  • Detecting trends in a product category over a time window (7d / 30d / 90d / 180d)
  • Competitor sentiment analysis and SWOT positioning
  • Open-ended discovery research across multiple sources

When NOT to use

  • General web research without market framing -> use oma-search directly
  • Single-source queries only -> use oma search fetch standalone
  • Delta tracking or trend velocity over time (v2 feature) -> defer
  • Live dashboards or scheduled monitoring -> out of scope (v1 one-shot only)

Expected inputs

  • Topic string and optional --intent pain|trend|competitor|discovery
  • Optional --window 7d|30d|90d|180d (default: 30d)
  • Optional --sources <list> to override defaults
  • Optional --vs <entity> for competitor COMPARISON mode
  • Optional --frameworks auto|none|swot,5f,pestel

Expected outputs

  • Single markdown brief at .agents/results/market/{topic-slug}-{YYYYMMDD}.md
  • Badge first-line, What we learned: body opener (or COMPARISON title), engine footer
  • No raw evidence dump; no Sources block; no em-dash; no ## in body (framework/COMPARISON sections excepted)

Dependencies

  • oma-search for all fetches (oma search fetch --only api); never fetches directly
  • Serena trust-registry-cache (read-only); Trust Registry labels inherited from oma-search
  • resources/intent-rules.md, resources/operator-packs/, resources/output-laws.md

Control-flow features

  • Branches by classified intent, window, source availability, and env key presence
  • detect-trap gate before harvest (exit 2 on broad/ambiguous topic, exit 4 on invalid)
  • Paid sources (X, TikTok, Instagram, YouTube, Perplexity) auto-skip when env key absent
  • Framework auto-toggle by intent (see Routes table)

Structural Flow

Entry

  1. Run oma market detect-trap "<topic>" to preflight the query.
  2. Classify or confirm intent from user prompt or --intent flag.
  3. Select operator pack and framework set for the intent.

Scenes

  1. PREPARE: Parse topic and flags; run detect-trap; resolve intent, operator pack, window.
  2. ACT: Build per-source oma search fetch URLs with operator pack query expansion.
  3. ACQUIRE: Fan-out harvest via oma market harvest (parallel, per-source-limit 12, cache TTL 15m).
  4. VERIFY: Score, fuse, and cluster candidates; validate JSON at each pipe stage.
  5. FINALIZE: Render LAW-compliant markdown brief; run self-check; write to output path.

Transitions

  • If detect-trap exits 2 (REFUSE), surface reframe suggestion and halt.
  • If all sources blocked, exit 2 with per-source diagnostics.
  • If partial harvest failure, proceed; render annotates "coverage: N/M sources".
  • If zero clusters, emit preview message and suggest wider window.
  • If --vs <entity> flag is present, switch to COMPARISON template.

Failure and recovery

  • detect-trap exit 2: surface REFUSE reason and suggested reframe; do not proceed to harvest.
  • Network timeout (exit 6): report and suggest --window reduction or --no-cache.
  • Invalid JSON from any pipe stage: exit 4 with offending line in stderr.
  • Render LAW self-check violation: strip or regenerate; exit 1 only if regeneration also fails.
  • FS permission denied at write: exit 5.

Exit

  • Success: brief file written; first 50 lines previewed; engine footer present.
  • Partial success: source failures and framework skips are explicit in footer and stderr.

Logical Operations

Actions

ActionSSL primitiveEvidence
Run detect-trap preflightVALIDATETopic arg, trap pattern rules
Classify intentSELECTIntent rules, user flags
Select operator packSELECTresources/operator-packs/
Fan-out harvestCALL_TOOLoma market harvest -> oma search fetch
Score candidatesINFEREngagement weights, freshness, intent blends
Fuse and deduplicateINFERURL canonicalize, RRF k=60, author cap
Cluster by entity overlapINFEROverlap coefficient >= 0.4, MMR lambda=0.75
Select frameworksSELECTIntent-to-framework toggle table
Render and self-checkWRITEOutput LAWs, framework templates
Write briefWRITE.agents/results/market/
Report previewNOTIFYFirst 50 lines of brief

Tools and instruments

  • oma market detect-trap (preflight gate)
  • oma market harvest (delegates to oma search fetch --only api)
  • oma market score (engagement weights, log1p, intent blends)
  • oma market fuse (URL canonical, RRF, diversity guard)
  • oma market cluster (entity overlap, MMR)
  • oma market render (md/json, LAW self-check, file write)

Canonical command path

TOPIC="VS Code pain points"
oma market detect-trap "$TOPIC" \
  && oma market harvest "vscode (broken OR bug OR migrate OR quit OR slow)" \
       --sources reddit,hn,bluesky,mastodon,github-issues --window 30d \
       --operator-pack pain \
  | oma market score --intent pain \
  | oma market fuse \
  | oma market cluster \
  | oma market render --format md --intent pain --frameworks auto

Resource scope

ScopeResource target
NETWORKCommunity sources via oma search fetch (reddit, hn, bluesky, mastodon, github-issues, grounding)
LOCAL_FSBrief output at .agents/results/market/; cache at ~/.cache/oma/market/
PROCESSoma market subcommands; oma search fetch
MEMORYIntent classification, operator pack selection, cluster summaries

Preconditions

  • Topic is non-empty and passes detect-trap (not demographic-shopping, not single-noun-too-broad).
  • At least one keyless source is reachable (reddit, hn, bluesky, mastodon, github-issues, or grounding).

Effects and side effects

  • Writes brief markdown to .agents/results/market/{topic-slug}-{YYYYMMDD}.md.
  • Populates local cache at ~/.cache/oma/market/{sha1-hash}/result.json (TTL 15m).
  • Reads Serena trust-registry-cache (no write).

Guardrails

  1. detect-trap first: never harvest without preflight; --force bypasses only in test mode.
  2. Delegate all fetches: harvest calls oma search fetch --only api; no direct platform HTTP.
  3. Trust labels read-only: no re-scoring; Trust Registry ownership stays with oma-search.
  4. Paid sources auto-skip: drop silently with [INFO] stderr if env key absent; never error.
  5. LAW self-check mandatory: render runs self-check before file write; --no-self-check for debug only.
  6. No raw evidence dump: cluster internals (scores, item counts) stay in JSON output; markdown body paraphrases.
  7. Stdout pure JSON per stage: each pipe stage (except render) emits valid JSON only; stderr for warnings.
  8. No Serena writes in v1: trust-registry-cache is read-only; write authority stays with oma-search.

Routes

IntentOperator packAuto frameworksNotes
painresources/operator-packs/pain.mdSWOTWeights: engagement 0.40, freshness 0.30, quality 0.30
trendnone (optional: resources/operator-packs/positive.md for pain/positive contrast)SWOTWeights: freshness 0.50, engagement 0.30, quality 0.20
competitorresources/operator-packs/competitor.mdSWOT + Porter's 5F (v1.1 stub)Weights: relevance 0.35, engagement 0.35, quality 0.30; --vs enables COMPARISON template
discoveryresources/operator-packs/discovery.mdSWOT + PESTEL (v1.1 stub)Weights: relevance 0.45, engagement 0.30, quality 0.25

Porter's 5F and PESTEL: the CLI renders empty framework slots; the host LLM fills them using the analyst prompts in resources/frameworks/porters-5f.md and pestel.md (execution-protocol Step 6).

Default Workflow

  1. Preflight: oma market detect-trap exits 0 or halts.
  2. Harvest: fan-out to keyless sources with operator-pack query; paid sources conditional on env keys.
  3. Score: apply intent-specific engagement weights and log1p normalization.
  4. Fuse: URL-canonicalize, deduplicate, RRF k=60, per-author cap <= 3.
  5. Cluster: entity overlap coefficient >= 0.4, MMR lambda=0.75, <= 3 representatives.
  6. Render: select frameworks, synthesize brief, run LAW self-check, write file.

Invocation

Standalone
/oma-market "Next.js pain points" --intent pain --window 30d
/oma-market "AI coding tools trend" --intent trend
/oma-market "Cursor vs Windsurf" --intent competitor --vs Windsurf
/oma-market "developer productivity market" --intent discovery
Shared (from other skills or workflows)

Pass the rendered brief path (.agents/results/market/{slug}-{YYYYMMDD}.md) as a --use-market-research arg to Brainstorm or PM workflows. The brief is a static file; the calling skill reads it directly.

References

  • Intent classification: resources/intent-rules.md
  • Operator packs: resources/operator-packs/ (pain.md, positive.md, competitor.md, discovery.md)
  • Frameworks: resources/frameworks/ (swot.md, porters-5f.md, pestel.md — analyst prompts the host LLM fills into the rendered slots)
  • Execution steps: resources/execution-protocol.md
  • Output LAWs and self-check rules: resources/output-laws.md
  • Input/output examples: resources/examples.md
  • Pre-flight checklist: resources/checklist.md
  • Error recovery: resources/error-playbook.md
  • Context loading: ../_shared/core/context-loading.md
  • Lessons learned: ../_shared/core/lessons-learned.md

Signals

GitHub stars
46
Forks
2
Last commit
Sep 2026

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oma-market-gracefullight
Source
github.com/gracefullight/krds