oma-market

name

oma-market

description

Market research skill for pain-point extraction, trend detection, competitor positioning, and discovery across community sources (Reddit, HN, Bluesky, Mastodon, GitHub Issues, web). Built-in harvest fetchers, 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.

Market Research Agent - Community Signal Intelligence

Scheduling

Goal

Classify user intent into pain / trend / competitor / discovery, fan-out to community sources via oma market harvest, 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
• Optional harvest flags: --sites <list> (grounding site: filters, e.g. Naver/tistory/brunch for ko locale), --query-strict (post-filters results to those whose title contains every whitespace-separated query token)
• Auto-widen (harvest, on by default): widens the window on a thin corpus via the ladder 7d -> 30d -> 90d -> 180d, unless --window is explicitly pinned. Disable with --no-widen; force it on even with a pinned window via --widen-on-thin; tune the thin-corpus cutoff with --widen-threshold <n>.

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 market harvest built-in per-source fetchers (all network I/O stays inside harvest)
• 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)
• Env-keyed sources (X, TikTok, Instagram, Perplexity) auto-skip when env key absent; YouTube joins when yt-dlp is installed
• 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 harvest queries 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.
• Per-source timeout or fetch failure: source lands in sources_failed; harvest exits 2 only when all sources fail.
• Invalid JSON from any pipe stage: exit 4 with offending line in stderr.
• Render LAW self-check violation: auto-fixable LAWs are repaired in place; unfixable violations are annotated in the doc and exit 1.
• Render error (invalid input JSON, write failure incl. FS permission denied): exit 4 with the error in stderr.

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

Action	SSL primitive	Evidence
Run detect-trap preflight	VALIDATE	Topic arg, trap pattern rules
Classify intent	SELECT	Intent rules, user flags
Select operator pack	SELECT	resources/operator-packs/
Fan-out harvest	CALL_TOOL	oma market harvest built-in per-source fetchers
Score candidates	INFER	Engagement weights, freshness, intent blends
Fuse and deduplicate	INFER	URL canonicalize, RRF k=60, author cap
Cluster by entity overlap	INFER	Overlap coefficient >= 0.4, MMR lambda=0.75
Select frameworks	SELECT	Intent-to-framework toggle table
Render and self-check	WRITE	Output LAWs, framework templates
Write brief	WRITE	.agents/results/market/
Report preview	NOTIFY	First 50 lines of brief

Tools and instruments

• oma market detect-trap (preflight gate)
• oma market discover-competitors (auto-discover peer entities for a topic; feeds --vs in competitor mode)
• oma market harvest (fan-out via built-in per-source fetchers)
• 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,grounding --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

Scope	Resource target
NETWORK	Community sources via harvest's built-in fetchers (reddit, hn, bluesky, mastodon, github, grounding; youtube via yt-dlp)
LOCAL_FS	Brief output at .agents/results/market/; cache at ~/.cache/oma/market-research/
PROCESS	oma market subcommands
MEMORY	Intent 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, or grounding).

Effects and side effects

• Writes brief markdown to .agents/results/market/{topic-slug}-{YYYYMMDD}.md.
• Populates local cache at ~/.cache/oma/market-research/{sha256-16hex}/result.json (TTL 15m).

Guardrails

1. detect-trap first: never harvest without preflight. --force bypasses the trap gate unconditionally; use it only after the user explicitly reconfirms a refused topic.
2. Fetches stay inside harvest: all network I/O happens in oma market harvest's per-source fetchers; no direct platform HTTP from other stages or the agent.
3. Env-keyed sources auto-skip: dropped with a [harvest] <source> skipped: stderr notice when the env key is absent; never a hard error. X/TikTok/Instagram/Perplexity fetchers are deferred stubs pending integration and land in sources_failed even when keyed.
4. LAW self-check mandatory: render runs self-check before file write; --no-self-check for debug only.
5. No raw evidence dump: cluster internals (scores, item counts) stay in JSON output; markdown body paraphrases.
6. Stdout pure JSON per stage: each pipe stage (except render) emits valid JSON only; stderr for warnings.
7. Personal data refuse: refuse private-individual PII queries at the agent level before harvest (detect-trap automates demographic-shopping and overly-broad-topic refusal only).

Routes

Intent	Operator pack	Auto frameworks	Notes
pain	resources/operator-packs/pain.md	SWOT	Weights: engagement 0.40, freshness 0.30, quality 0.30
trend	none (optional: resources/operator-packs/positive.md for pain/positive contrast)	SWOT	Weights: freshness 0.50, engagement 0.30, quality 0.20
competitor	resources/operator-packs/competitor.md	SWOT + Porter's 5F	Weights: relevance 0.35, engagement 0.35, quality 0.30; --vs enables COMPARISON template; discover-competitors can suggest the --vs entity
discovery	resources/operator-packs/discovery.md	SWOT + PESTEL	Weights: relevance 0.45, engagement 0.30, quality 0.25

Porter's 5F and PESTEL: the CLI renders complete labeled framework skeletons (all 5 forces / all 6 dimensions); 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)

The rendered brief is a static file at .agents/results/market/{slug}-{YYYYMMDD}.md. Brainstorm or PM workflows consume it by reading that path directly — there is no intake flag to pass.

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