plugin-recommender

name	plugin-recommender
description	Given a task description, searches internal and external open-source ecosystems (including Codex marketplace and Claude Code marketplace) to find and recommend suitable plugins with installation guidance. Recommendation is quality-validation based (marketplace-listed + performance-validated), not source-origin based. Activates on "recommend a plugin", "what tool should I use?", "is there a plugin for this?", "recommend a tool". Also checks for duplicate installations.
user-invocable	true
allowed-tools	["Grep","GoogleWebSearch","Bash"]
model	sonnet

Note: In external user install environments, the internal GHE org inventory and sister asset clusters are organization-specific examples from the original developer's environment. Adapt the core of this skill (multi-layer search + synergy evaluation + install support) to your own environment (see ## External User Environment Adaptation Path §).

plugin-recommender

Takes a task description as input, searches internal GHE, Claude Code marketplace, Codex marketplace, and external open-source ecosystems, then outputs a ranked list of suitable plugins and install commands. Ranking is quality-validation based — not source-origin based. Also reports duplicate installs and potential conflicts.

Activation Triggers

Activates on the following types of phrasing.

1. Direct recommendation request: "Recommend a plugin", "What plugin should I use?", "Find a useful tool"
2. Task-based implicit request: "I want to handle Jira tickets", "I need to visualize DB data", "I want to auto-generate API docs"
3. Environment setup questions: "How do I integrate with Confluence?", "Set up plugins needed for a new project"
4. Chained from sim-conductor (persona/simulation amplification): "Find a persona/simulation validation plugin", "Install stronger personas for the review". When invoked this way, scope the search to persona/simulation/review-oriented plugins (e.g., deep-insight) and return control to sim-conductor after install so the simulation can re-run with the installed personas — see ## Return Path §.

Processing Steps (Step 0 Pre-check + 5-Step)

Step 0: Search Pre-check — GitHub Token Auth Status

Before entering Step 2 multi-layer search, gh CLI auth status check is mandatory. Internal GHE + external GitHub auth are separate — if unauthenticated, guide user on how to generate and store tokens.

Run gh auth status. For full PAT setup commands and host-branching scripts, see SKILL_detail.md §Discovery-Bash.

External users (no internal GHE): skip internal GHE auth check — verify gh auth status for github.com only, then proceed to Step 1.

Internal non-hub users: run Step 0 as-is, but remap Step 2 [Priority 1.5] sister asset clusters to your own org. See ## External User Environment Adaptation Path.

Step 1: User Goal Analysis and Core Keyword Extraction

Analyze the user's natural language request to extract core domain and task keywords.

• "I want to create Jira tickets and update their status" → domain: jira, task: create, update
• "I want to auto-generate API docs" → domain: api, documentation, task: generate, auto

Step 2: Multi-Layer Search Space Setup

Search in priority order based on extracted keywords.

Tier Classification Table (Quality-Validation Based)

Tier is independent of platform origin (Anthropic / OpenAI / community). A well-benchmarked community plugin ranks higher than an official plugin with no performance data.

Tier	Criteria	Sources
Tier 0	Platform built-in — ships with the runtime, zero install, zero token cost to discover	Claude Code built-in skills/commands (e.g. /deep-research, /code-review, /review, /security-review, /batch, /loop, /fewer-permission-prompts, /goal, /rewind, /team-onboarding) — inventory varies by version/environment: enumerate from the live session, do not assume
Tier 1	Marketplace-listed + performance-validated (benchmark data or production usage evidence)	Anthropic official · Codex marketplace verified · CC marketplace verified · FH community reviewed (steel-quench + sim-conductor validated)
Tier 2	Marketplace-listed, no explicit performance data	Any marketplace source (CC marketplace · Codex marketplace · npm · GHE)
Tier 3	Not marketplace-listed, source-available (GitHub/npm)	Repo-only agents/plugins
Tier 4	Not verified, private/internal	Internal team builds · unreviewed local experiments

1. [Priority 1] Internal Curated List: knowledge/shared/plugin-catalog/recommended_plugins.md — check this first for verified internal/external plugin list + Tier 1·2·3·4 classification. If user's task domain already appears in catalog, use results immediately.

2. [Priority 1.5] Internal GHE Sister Assets (partially completed work — Tier 2): Check if user's task domain already exists in internal sister asset clusters. Prioritize direct use or adoption of sister assets if the user's task falls within these cluster domains.

3. [Priority 2.5] Project Reference/Contribution Path:

   For cases where referencing or contributing to the project itself is more appropriate than installing a plugin. Provide guidance when there's intent for medium-term contribution rather than immediate use.

   • Fork reference: Fork a similar project and customize for your environment
   • PR contribution: Propose a PR to the relevant project if the desired feature is missing
   • Issue filing: Guide on how to file a feature request issue

   Role separation (boundary with cross-ecosystem-synergy-detection):

   • plugin-recommender [Priority 2.5]: When no immediately usable plugin is available → guide to project-level reference/contribution path (alternative to installing)
   • cross-ecosystem-synergy-detection: Discover hidden synergies among already-installed skills (post-install utilization optimization)

   Activation condition: Automatically entered when Step 2 [Priority 1]~[Priority 2] search yields no suitable plugin.

4. [Priority 2] Organization's Internal GHE (Tier 1–4): Search internal GHE with keywords like claude-plugin, gemini-plugin + user keywords / API search. Replace with your organization's internal GHE orgs.

5. [Priority 3] External Open-Source Ecosystem: WebSearch / WebFetch — "best github actions for X", "claude plugin for Y", etc. Simplification guard: defer external install if internal assets suffice.

   Verified external search targets (as of 2026-05):

   • anthropics/claude-plugins-official — Anthropic-curated official plugin directory. Search here first for any task domain.
   • Chat2AnyLLM/awesome-claude-plugins — Community aggregator: 75+ marketplaces, 1,196+ plugins catalogued (2026-05-25). Use for broad discovery.
   • anthropics/claude-code/plugins/ — Anthropic first-party plugins bundled with Claude Code (e.g., code-review with 5 parallel Sonnet agents).

Step 2.5: Platform-Aware Discovery

When queried for a specific capability (e.g., "adversarial reviewer for bash code"), search across all platforms before narrowing to candidates.

Discovery order (stop when sufficient Tier 1 candidates found):

0. Platform built-ins (Tier 0) — does a built-in skill/command already cover the capability? Check the live session's available-skills list before any plugin search. A built-in that covers ~80% beats installing a plugin for the rest
1. Installed locally — .claude/agents/, plugins/ in current cwd
2. FH native skills — always-loaded knowledge in plugins/fh-meta/ and plugins/fh-commons/
3. Claude Code marketplace — claude mcp search [capability] or known CC registry (see verified targets above)
4. Codex marketplace — npx @openai/codex list-agents [capability] or known Codex registry
5. npm ecosystem — @chrono-meta/, @anthropic/, and other known-quality scoped packages

Discovery priority: built-in (Tier 0) > installed > FH native > Tier 1 (any platform) > Tier 2 > Tier 3 > Tier 4 Tier 0 guard: FH native wins over a built-in only when the FH skill adds governance the built-in lacks (e.g. /goal → goal-quench adds budget+quality gates; code diff review stays with built-in /code-review, FH-asset coherence with hub-cc-pr-reviewer)

When sim-conductor chains here for persona discovery: apply the same platform-aware search scoped to persona/simulation/review capability tags. Return discovered agents with their Tier rating so sim-conductor can decide whether to install or use a built-in brief.

For discovery bash commands (claude mcp search, npx @openai/codex list-agents, npm scoped search), see SKILL_detail.md §Discovery-Bash.

Step 2.6: Quality Validation Signals

Use this table to determine Tier placement when a candidate's tier is ambiguous.

Quality signal	Weight
Published benchmark (accuracy/precision, reproducible)	High
Production usage evidence (download count, GitHub stars > 100)	Medium
Marketplace listing (official review process passed)	Medium
FH community reviewed (steel-quench + sim-conductor validated)	High
Author reputation (known team: Anthropic, chrono-meta, etc.)	Low

Tier assignment rule: two or more High-weight signals → Tier 1. One High or two Medium → Tier 2. Listed but no signals → Tier 2. Not listed, source-only → Tier 3. No external presence → Tier 4.

Step 3: Candidate Plugin Analysis and Ranking

Analyze each candidate plugin's README.md and plugin.json to score and rank based on:

• Feature relevance: How well does the description and keywords match user goals?
• Reliability and recency: Recent commit date, star/fork count (external), internal usage frequency, etc.
• Install convenience: Does it support claude plugin install directly?
• Synergy effect: Call cross-ecosystem-synergy-detection to check synergy grade (★~★★★) with other currently installed plugins.
• Tier (from §Tier Classification Table): report each candidate's Tier in the recommendation table.

Step 4: Present Recommendation List

Output top 2-3 plugins in the following table format. Include Tier and Platform so the user can see the quality-validation basis at a glance. For full example outputs, see SKILL_detail.md §Examples.

Rank	Plugin Name	Tier	Platform	Recommendation Reason	Key Features	Synergy Effect
1	[name]	Tier N	[source]	[reason + evidence]	[features]	[synergy grade]

Step 5: Install and Configuration Support

When user selects desired plugin from recommendation list, help with installation.

5-0. Pre-install Duplicate Detection (pre-check — mandatory): check claude plugin list, .claude/settings.json enabledPlugins, and same-name conflict. For full duplicate detection procedure and same-name conflict handling steps, see SKILL_detail.md §Install-Procedure.

5-1 through 5-3. Install: confirm intent → run install command → post-install configuration (API token, MCP connection, verify). Full install commands and configuration guidance at SKILL_detail.md §Install-Procedure.

5-B. External Asset Migration Path (when non-plugin asset found): migration suitability check (3 criteria) → SKILL.md conversion template → location guidance. Full procedure at SKILL_detail.md §Install-Procedure.

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Constraints

• Recommendations, not guarantees: Does not guarantee plugin performance, stability, or security.
• Inbound supply-chain risk (Tier 3/4): a Tier 3/4 candidate (§Tier Classification Table) has no marketplace vetting — public skill registries have shipped malicious skills at scale (pointers: HN 47370624 — 824 malicious skills reported on ClawHub; HN 48678603 — Snyk ToxicSkills study. Secondary sources — verify before quoting figures). Flag this explicitly to the user before recommending a Tier 3/4 candidate.
• User consent required: Does not auto-install without explicit consent.
• Search scope limitations: Only searches within configured search space.

External User Environment Adaptation Path

The internal GHE org inventory + sister asset clusters in this skill are examples from the original developer's environment. External user (mode C install) environment adaptation path — following forge-harness core proposition "Beta + public release = obligation to have practical capabilities".

External User Environment Assumptions

External users in 2 tiers:

Type	Internal GHE access	Applicable path
Internal non-hub (org employee, not owner)	Yes — run Step 0 as-is / remap Step 2 [1.5 priority] to own org sister assets	Use original developer environment as reference baseline / search based on own sister assets/org
External (outside org)	No — apply entire Fallback Matrix below	Auto-skip internal GHE steps / search based on external GitHub

The core 5-step procedure (goal analysis → multi-layer search → candidate analysis → recommendation → install support) is cross-applicable to both types.

The Fallback Matrix below is for external users. Internal non-hub users can use Step 0·2 as-is.

Fallback Matrix (Original Developer Environment → External Environment Replacement)

Original developer environment dependency	External user environment fallback
Step 0 internal GHE auth check	Check external GitHub auth only (gh auth status default host) — auto-skip internal GHE step
Step 2 [Priority 1.5] internal sister asset clusters	User's own sister assets (personal/team GitHub org · internal marketplace) — this skill auto-maps user's own sister asset matrix
Step 2 [Priority 2] internal GHE org inventory	External GitHub default org inventory (anthropics · oh-my-claudecode etc. plugin ecosystem marketplace)
Step 2 Tier table Tier 1·2·3·4 classification	User's own Tier classification — use the quality-validation signals table (§Step 2.6) to assign tiers in your environment

External User Usage Scenarios

1. External GitHub priority recommendations: In environments without internal GHE access, call only Step 2 [Priority 1] curated list + [Priority 3] external GitHub search / auto-skip [Priority 1.5]·[Priority 2] internal GHE steps
2. Plugin marketplace discovery assistance: Auto-search external ecosystems like anthropics/claude-code marketplaces · oh-my-claudecode · personal/team marketplaces
3. Core synergy evaluation: Step 3 synergy evaluation + auto-calling cross-ecosystem-synergy-detection is cross-applicable to all environments
4. Same install support baseline: Step 5 token generation path · MCP connection · 3 verification sub-paths work the same in external GitHub environments

Limitations (Explicit)

• Internal GHE org inventory (Step 0 / Step 2 [Priority 2]) = original developer's organization-specific environment / external users should treat as reference baseline (auto-skipped)
• Sister asset clusters (Step 2 [Priority 1.5]) = original developer's own environment / external users should map their own sister assets
• Core 5-step of this skill (goal analysis + multi-layer search + candidate analysis + recommendation + install) = cross-applicable to all user environments / original developer examples are for reference
• catalog recommended_plugins.md = original developer environment accumulated operation baseline / external users should create their own catalog or use this as reference baseline

Return Path (when chained from sim-conductor)

When invoked as sim-conductor's ③ external-fetch branch (Activation Trigger 4), this skill hands control back after install so the simulation can run with the new personas.

sim-conductor needs persona X (no installed/built-in match)
  → plugin-recommender: scope search to persona/simulation/review plugins (e.g., deep-insight)
  → recommend → install (user approval)
  → RETURN to sim-conductor: report "[plugin] installed, personas [list] now available"
  → sim-conductor re-runs the Area with persona X

Done When (chained mode): install complete AND control returned to sim-conductor with the available-persona list. Ending at install without the return handoff = incomplete chain.

Simplification guard: If a suitable persona is already installed or a built-in role brief covers the need, do not search/install — report the existing match and return immediately. The cheapest persona is the one already present.

Done When

All Steps 0~5 completed
+ Recommendation list table output (top 2~3 items, Tier + Platform + synergy grade included)
+ Install completed after user selection (or install skipped / 5-B migration path guided)
+ Duplicate detection results reported

Failure Response

On Claude API / MCP failure → refer to references/fallback-guide.md manual checklist.

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