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Cc concept channel advisor

Skill clever-cc-plugins/cc-concept/plugins/cc-concept/skills/cc-concept-channel-advisor

A Claude Code plugin providing marketing-strategy skills.

Install
npx -y skills add clever-cc-plugins/cc-concept --skill cc-concept-channel-advisor

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What its author says it does

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Use this skill to recommend a channel mix and tactics for a specific marketing goal, audience, and budget context. Invoke when the user asks to "recommend a channel mix", "which channels should we use", or wants a channel strategy for a goal or campaign. Produces recommended primary and supporting channels, tactical recommendations, and flags prerequisites the user may be missing.

SKILL.md

7.5 KB, as published. Nobody here has run it

Channel Advisor Skill

This skill recommends a channel mix and tactics for a specific goal, audience, and budget context, sequenced against the RACE funnel model.

This skill follows the shared step sequence in ../_shared/skill-contract.md. Steps below add only channel-advisor-specific behavior.

Step 0–1: Recall learnings and load context

If .claude/learnings.md exists, read it silently. Apply relevant entries — in particular, channel preferences, constraints, or vetoed channels. Do not announce this step. If the file is absent, continue normally.

Read the ## Context files table in CLAUDE.md. Match the following needs against the Summary column semantically — never against a label or filename:

  • Business goals/KPIs — campaign objectives, business targets, success metrics, growth stage, revenue targets
  • Target audience — positioning, audience profile, customer segments, buyer personas, organization background (prefer a cc-concept-positioning output file if registered)

Note silently if present (do not ask about): current marketing channels, budget, and a prior strategy performance review (cc-concept-performance-review output) if registered — factor validated/invalidated channel bets into the recommendation.

Step 2: Gating — Three-State Model

This skill gates on exactly two needs: business goals and target audience. For each, resolve one of three states:

  1. Covered — present in the context table (Summary match) → use silently, no ask.
  2. Absent-but-supplied — ask once (never twice in one invocation); user answers → use, non-degraded.
  3. Absent-and-unanswered — asked once, no usable answer → that section is labelled ⚠ DEGRADED, never fabricated, and the rest of the recommendation still generates.

Check business goals

Search the context table Summary column for semantic matches: business goals, KPIs, objectives, targets, growth stage, success metrics.

If covered, use silently.

If absent, ask once:

"I need to understand what this channel recommendation should achieve. Briefly: What are your primary business goals or KPIs right now? (e.g. revenue growth, lead volume, retention, brand awareness) Is there a specific target or metric this recommendation should support?"

If the user provides usable answers, proceed non-degraded. If the user declines or the answer is too vague to use, label the section ## Business Goals ⚠ DEGRADED in the output and continue.

Check target audience

Search the context table Summary column for semantic matches: target audience, positioning, organization background, customer segments, buyer profile.

Prefer a cc-concept-positioning output file's Summary if one is registered; else fall back to organization background.

If covered, use silently.

If absent, ask once:

"I need to understand who this channel recommendation is for. Briefly: Who is the target audience? (role, company type/size if B2B, or demographic if B2C) What stage are they typically at when they encounter you? (just learning you exist, actively comparing options, or already a customer)"

If the user provides usable answers, proceed non-degraded. If the user declines or the answer is too vague to use, label the section ## Target Audience ⚠ DEGRADED in the output and continue.

Step 3: Calibrate

Take the goal from $ARGUMENTS if given, else from loaded business goals or the Step 2 gating answer. No campaign-type inference is needed here — just goal, audience, and whatever current-channel/budget context is loaded.

Step 4: Generate

Apply RACE from ../_shared/campaign-frameworks.md. State the mapping being applied before generating. Example:

"Using RACE to sequence channels by funnel stage."

Produce a channel recommendation that includes:

  • Primary channel(s) — with rationale tied to the loaded goal and audience.
  • Supporting channel(s) — channels that reinforce the primary channel(s).
  • Tactical recommendations — at least one concrete tactic per recommended channel.
  • Existing-channel calls — for each existing channel loaded from context, a maintain/grow/reduce/exit call, based on whether the advisor is recommending continued/increased investment (maintain/grow), reduced investment (reduce), or discontinuing it (exit) — including channels the advisor is NOT recommending going forward. Omit this element entirely if no current-channels context is loaded.
  • Prerequisites — for any recommended channel where the loaded context suggests it may be out of reach (budget, capability, or skills the user may not have), a "prerequisites" note naming what's missing.

Step 5–6: Quality check and delimited output

Review the generated channel recommendation for:

  • Completeness: All five elements above are present (existing-channel calls only when current-channels context was loaded).
  • Extractability: Primary channels, supporting channels, and tactical recommendations are explicitly named so the user can act on them immediately.
  • Framework alignment: RACE stages are clearly sequenced in the recommendation.
  • Consistency: All sections reinforce the same goal and audience.

Fix any gaps before proceeding.

If Step 2 ended in a degraded state for one or both gated needs (business goals and/or target audience), prefix the output with:

⚠ DEGRADED OUTPUT — generated without: <comma-separated list of unmet needs>

For example, if target audience is degraded but business goals are not, prefix with: ⚠ DEGRADED OUTPUT — generated without: target audience

If both are degraded, prefix with: ⚠ DEGRADED OUTPUT — generated without: business goals, target audience

If neither need is degraded, omit the prefix.

Return the channel recommendation inside clear delimiters:

─────────────────────────────────────────────────────────────────
## Channel Recommendation
─────────────────────────────────────────────────────────────────

[Generated channel recommendation here]

─────────────────────────────────────────────────────────────────

Step 7: Feedback

Store learnings tagged [cc-concept:cc-concept-channel-advisor] in .claude/learnings.md. Examples:

[cc-concept:cc-concept-channel-advisor] client vetoed paid social entirely, treat as excluded from all future recommendations — 2026-07-19
[cc-concept:cc-concept-channel-advisor] client's existing email list is small (<500) and shouldn't be weighted as a primary channel yet — 2026-07-19

If the session revealed a channel preference, constraint, or exclusion that future runs should apply, record it now.

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