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first-fluke/oh-my-agent/skills/oma-market/SKILL.md

oma-market

Use it for research tasks; the detail page covers purpose, installation, and practical steps.

Source repository stars
1,253
Declared platforms
0
Static risk flags
1
Last source update
2026-08-28
Source checked
2026-08-28

Decision brief

What it does: where it fits

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.

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/first-fluke/oh-my-agent --skill "skills/oma-market"
    Safe inspection promptEditorial

    Inspect the Agent Skill "oma-market" from https://github.com/first-fluke/oh-my-agent/blob/ca736256275e4dc8c15a1fe967eb8c8d1df5fddc/skills/oma-market/SKILL.md at commit ca736256275e4dc8c15a1fe967eb8c8d1df5fddc. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      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…

      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.
    2. 02

      Scheduling

      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.

      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.
    3. 03

      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.

      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…
    4. 04

      Intent signature

      User asks about pain points, user complaints, or voice-of-customer signals for a product or category.

      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.
    5. 05

      When to use

      Extracting real user pain points from community posts (Reddit, HN, GitHub Issues, Bluesky, Mastodon)

      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

    Permission review

    Static risk signals and limitations

    Writes files

    medium · line 164

    The documentation asks the agent to create, modify, or delete local files.

    **Render**: select frameworks, synthesize brief, run LAW self-check, write file.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score92/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars1,253SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    first-fluke/oh-my-agent
    Skill path
    skills/oma-market/SKILL.md
    Commit
    ca736256275e4dc8c15a1fe967eb8c8d1df5fddc
    License
    MIT
    Collected
    2026-08-28
    Default branch
    main
    View the original SKILL.md

    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

    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 built-in per-source fetchers
    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 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

    ScopeResource target
    NETWORKCommunity sources via harvest's built-in fetchers (reddit, hn, bluesky, mastodon, github, grounding; youtube via yt-dlp)
    LOCAL_FSBrief output at .agents/results/market/; cache at ~/.cache/oma/market-research/
    PROCESSoma market subcommands
    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, 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

    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 5FWeights: relevance 0.35, engagement 0.35, quality 0.30; --vs enables COMPARISON template; discover-competitors can suggest the --vs entity
    discoveryresources/operator-packs/discovery.mdSWOT + PESTELWeights: 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

    Frequently asked questions

    What to verify before installation and use

    What does the oma-market source document cover?

    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.

    How do I install oma-market?

    The source record exposes this install command: npx skills add https://github.com/first-fluke/oh-my-agent --skill "skills/oma-market". Inspect the command and pinned source before running it.

    Which permission-related actions were detected?

    Static rules flagged write-files in the source; the page lists the matching lines and excerpts.

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