mcpbeat

Oma Market

first-fluke/oma-market

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.

14k tokens
context cost
the whole folder, loaded on every use
14
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1201
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/first-fluke/oh-my-agent --skill oma-market

The instruction itself

30 sections, as written by the author

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

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

Scenes

  • PREPARE: Parse topic and flags; run detect-trap; resolve intent, operator pack, window.
  • ACT: Build per-source harvest queries with operator pack query expansion.
  • ACQUIRE: Fan-out harvest via oma market harvest (parallel, per-source-limit 12, cache TTL 15m).
  • VERIFY: Score, fuse, and cluster candidates; validate JSON at each pipe stage.
  • 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

  • detect-trap first: never harvest without preflight. --force bypasses the trap gate unconditionally; use it only after the user explicitly reconfirms a refused topic.
  • 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.
  • 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.
  • LAW self-check mandatory: render runs self-check before file write; --no-self-check for debug only.
  • No raw evidence dump: cluster internals (scores, item counts) stay in JSON output; markdown body paraphrases.
  • Stdout pure JSON per stage: each pipe stage (except render) emits valid JSON only; stderr for warnings.
  • 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

  • Preflight: oma market detect-trap exits 0 or halts.
  • Harvest: fan-out to keyless sources with operator-pack query; paid sources conditional on env keys.
  • Score: apply intent-specific engagement weights and log1p normalization.
  • Fuse: URL-canonicalize, deduplicate, RRF k=60, per-author cap <= 3.
  • Cluster: entity overlap coefficient >= 0.4, MMR lambda=0.75, <= 3 representatives.
  • 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

How to use it

Copy the folder

Take first-fluke/oma-market from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.