agentic-content-analyzer
Use an agentic AI solution to summarize AI newsletters into daily and weekly digests
Install / Use
npx skills add jankneumann/agentic-content-analyzerInstalls into whichever agent you are using.
Gemini Rules
Gemini CLI config
Quality Score
Category
AutomationSupported Platforms
Our assessment of agentic-content-analyzer
agentic-content-analyzer scores 67/100 on our quality scale, 432nd of 647 Automation skills we index.
Its Gemini Rules is 15 KB long, well organised into 37 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-09-15 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
agentic-content-analyzer compared with similar skills
All 4 of these similar skills score higher than agentic-content-analyzer; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| agentic-content-analyzer (this skill)by jankneumann | 67 | 0 | — | Gemini Rules |
| Agent-Reachby Panniantong | 100 | 85.0k | 8d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.1k | today | CLAUDE.md |
| nanobotby HKUDS | 100 | 48.5k | today | MCP Server |
| Scraplingby D4Vinci | 100 | 83.1k | today | MCP Server |
Frequently asked questions
- How do I install agentic-content-analyzer?
- Run
npx skills add jankneumann/agentic-content-analyzer. The install tabs above show the steps for each supported agent. - Which AI agents does agentic-content-analyzer work with?
- It is written for Gemini CLI, as a Gemini Rules file. Other agents that read the same format can often use it too.
- Is agentic-content-analyzer safe to use?
- It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is agentic-content-analyzer still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubname: linear-iterate-on-plan description: Iteratively refine an OpenSpec proposal by identifying and fixing completeness, clarity, feasibility, scope, consistency, testability, and parallelizability issues category: Git Workflow tags: [openspec, refinement, iteration, planning, quality, linear] triggers:
- "iterate on plan"
- "refine plan"
- "improve plan"
- "iterate on proposal"
- "refine proposal"
- "linear iterate on plan"
Iterate on Plan
Iteratively refine an OpenSpec proposal after /plan-feature creates it. Each iteration reviews the proposal documents, identifies plan quality issues, implements fixes, and commits — repeating until only low-criticality findings remain or max iterations are reached.
Arguments
$ARGUMENTS - OpenSpec change-id (required), optionally followed by --max <N> (default: 3) and --threshold <level> (default: "medium"; values: "critical", "high", "medium", "low")
Prerequisites
- OpenSpec proposal exists at
openspec/changes/<change-id>/with at least proposal.md, tasks.md, and one spec delta - Run
/plan-featurefirst if no proposal exists - Proposal has NOT yet been approved (this skill refines before approval)
OpenSpec Execution Preference
Use OpenSpec-generated runtime assets first, then CLI fallback:
- Claude:
.claude/commands/opsx/*.mdor.claude/skills/openspec-*/SKILL.md - Codex:
.codex/skills/openspec-*/SKILL.md - Gemini:
.gemini/commands/opsx/*.tomlor.gemini/skills/openspec-*/SKILL.md - Fallback: direct
openspecCLI commands
Coordinator Integration (Optional)
Use docs/coordination-detection-template.md as the shared detection preamble.
- Detect transport and capability flags at skill start
- Execute hooks only when the matching
CAN_*flag istrue - If coordinator is unavailable, continue with standalone behavior
Steps
0. Detect Coordinator, Read Handoff, Recall Memory
At skill start, run the coordination detection preamble and set:
COORDINATOR_AVAILABLECOORDINATION_TRANSPORT(mcp|http|none)CAN_LOCK,CAN_QUEUE_WORK,CAN_HANDOFF,CAN_MEMORY,CAN_GUARDRAILS
If CAN_HANDOFF=true, read recent handoff context:
- MCP path:
read_handoff - HTTP path:
"<skill-base-dir>/../coordination-bridge/scripts/coordination_bridge.py"try_handoff_read(...)
If CAN_MEMORY=true, recall relevant plan-iteration memories:
- MCP path:
recall - HTTP path:
"<skill-base-dir>/../coordination-bridge/scripts/coordination_bridge.py"try_recall(...)
On recall/handoff failure, continue with standalone iteration and log informationally.
1. Determine Change ID and Configuration
# Parse change-id from argument
CHANGE_ID=${ARGUMENTS%% *}
# Defaults
MAX_ITERATIONS=3
THRESHOLD="medium" # critical > high > medium > low
Parse optional flags from $ARGUMENTS:
--max <N>overrides MAX_ITERATIONS--threshold <level>overrides THRESHOLD
2. Verify Proposal Exists
# Verify proposal exists
openspec show $CHANGE_ID
# Verify core files exist
ls openspec/changes/$CHANGE_ID/proposal.md
ls openspec/changes/$CHANGE_ID/tasks.md
ls openspec/changes/$CHANGE_ID/specs/
If any core files are missing, abort and recommend running /plan-feature first.
3. Run Baseline Validation
# Strict validation as starting point
openspec validate $CHANGE_ID --strict
Record any validation failures. These become automatic critical-level findings in the first iteration.
3.5. Prepare Findings Artifact
Preferred path:
- Use the runtime-native continue/findings workflow (
opsx:continueequivalent) to create or extendplan-findings.
CLI fallback path:
openspec instructions plan-findings --change "$CHANGE_ID"
openspec status --change "$CHANGE_ID"
Ensure openspec/changes/<change-id>/plan-findings.md exists and append each iteration's findings there.
4. Begin Iteration Loop
ITERATION=1
5. Review and Analyze (Parallel Analysis Option)
Read all proposal documents to understand intent and current quality. For complex proposals, use parallel Task(Explore) agents to analyze different quality dimensions:
Sequential approach (default for simple proposals):
- Read
openspec/changes/<change-id>/proposal.md - Read
openspec/changes/<change-id>/tasks.md - Read
openspec/changes/<change-id>/design.md(if exists) - Read all spec deltas in
openspec/changes/<change-id>/specs/*/spec.md - Read existing specs in
openspec/specs/for capabilities referenced in the proposal's Impact section
Parallel approach (for complex proposals with 5+ tasks or 3+ spec deltas):
# Launch parallel analysis agents (single message, multiple Task calls)
Task(subagent_type="Explore", prompt="Analyze openspec/changes/$CHANGE_ID/ for COMPLETENESS issues: missing requirements, unaddressed edge cases, gaps in impact analysis, requirements without scenarios", run_in_background=true)
Task(subagent_type="Explore", prompt="Analyze openspec/changes/$CHANGE_ID/ for CLARITY and CONSISTENCY issues: ambiguous wording, vague scenarios, contradictions between documents", run_in_background=true)
Task(subagent_type="Explore", prompt="Analyze openspec/changes/$CHANGE_ID/tasks.md for FEASIBILITY and PARALLELIZABILITY: task size, dependencies, file overlap that would cause merge conflicts", run_in_background=true)
Task(subagent_type="Explore", prompt="Analyze openspec/changes/$CHANGE_ID/ for TESTABILITY: scenarios that can't be verified, subjective language like 'properly' or 'correctly'", run_in_background=true)
Analysis Synthesis:
- Wait for all TaskOutput results (if parallel)
- Merge findings, deduplicate, and assign criticality levels
- Produce the structured plan analysis below
Produce a structured plan analysis with findings in this format:
| # | Type | Criticality | Description | Proposed Fix | |---|------|-------------|-------------|--------------| | 1 | completeness/clarity/feasibility/scope/consistency/testability/parallelizability | critical/high/medium/low | What the issue is | How to fix it |
Type categories:
- completeness: Missing requirements, unaddressed edge cases, gaps in impact analysis, missing spec deltas for affected capabilities, requirements without scenarios
- clarity: Ambiguous requirement wording, vague WHEN/THEN scenarios, unclear task descriptions, missing context in proposal.md Why section, requirements not using SHALL/MUST
- feasibility: Tasks too large to implement atomically, unrealistic scope, missing technical constraints, undocumented dependencies between tasks
- scope: Scope creep beyond stated goals, mixing unrelated concerns, non-goals that should be explicit, tasks that don't trace back to any requirement
- consistency: Contradictions between proposal.md and design.md, requirement wording mismatches across documents, affected specs listed in Impact but no corresponding delta (or vice versa), duplicate requirements
- testability: Scenarios that can't be verified, requirements without measurable acceptance criteria, WHEN/THEN using subjective language ("properly", "correctly", "as expected")
- parallelizability: How well the task decomposition supports parallel multi-agent execution via
/parallel-implement. Evaluates whether tasks have explicit dependency declarations, whether task scopes are isolated to separate modules/files (no shared-file overlap that would cause merge conflicts), whether tasks are granular enough for independent agent assignment, and whether sequencing maximizes concurrent execution width
Criticality levels:
- critical:
openspec validate --strictfailures, missing spec deltas for capabilities listed in Impact, requirements without any scenarios, proposal.md missing required sections (Why, What Changes, Impact) - high: Ambiguous requirements that could be implemented multiple valid ways, tasks not traceable to requirements, scenarios using subjective/unmeasurable criteria, contradictions between documents, tasks with implicit shared-state or shared-file dependencies that would cause merge conflicts if parallelized
- medium: Missing edge-case scenarios (only success path covered), tasks too coarse for single-commit implementation, design.md needed but absent, incomplete impact analysis, tasks missing explicit dependency annotations, tasks that could be split into independent units for better parallelism
- low: Wording polish, minor formatting, task ordering optimization for parallel execution, optional design.md sections
Plan smells to check for:
- Giant task (spans multiple systems or modules)
- Orphan requirement (requirement in spec delta with no corresponding task)
- Orphan task (task with no corresponding requirement)
- Vague scenario (WHEN/THEN using words like "appropriate", "correctly", "properly", "as expected")
- Missing failure path (only success scenarios, no error/edge-case scenarios)
- Scope leak (tasks or requirements that extend beyond the stated What Changes)
- Impact mismatch (affected specs listed in proposal.md but no spec delta created, or vice versa)
- Design gap (multiple complex decisions without a design.md)
- Implicit dependency (tasks that modify the same files or shared state without explicit ordering — would cause merge conflicts in parallel execution)
- Monolithic task (single task that could be decomposed into independent subtasks for parallel agents)
- Missing dependency graph (tasks lack explicit dependency annotations needed by
/parallel-implementand Beads--blocked-by) - Coupled scope (tasks that modify overlapping files or modules, preventing isolated worktree execution)
6. Check Termination Conditions
Stop iterating if:
- All findings are below the criticality threshold → present summary and list remaining low-criticality findings for optional manual review
- ITERATION > MAX_ITERATIONS → present summary and list any unaddressed findings
If stopping, skip to the After Loop section below.
Otherwise, continue to step 7.
7. Implement Improvements
Fix all findings at or above the criticality threshold by modifying the proposal documents:
- proposal.md: Add missing Why context, expand What Changes, correct Impact section
- tasks.md: Split giant tasks, add missing tasks for orphan requirements, add explicit ordering and dependency notes, improve verifiability, restructure for parallel execution where possible
- design.md: Create if needed (per criteria below), add missing decision rationale, document alternatives considered, add risks/trade-offs
- Spec deltas: Add missing requirements, add WHEN/THEN scenarios for uncovered paths, fix requirement wording to use SHALL/MUST, add failure/edge-case scenarios, split monolithic spec files
When to create design.md (if one does not exist):
- Change affects multiple capabilities or introduces a new pattern
- New external dependency or significant data model changes
- Security, performance, or migration concerns
- Multiple technical decisions that need documented rationale
For findings that are outside the scope of the current proposal:
- Flag as "out of scope"
- Recommend creating a new OpenSpec proposal
- Do NOT expand the current proposal to address them
8. Run Quality Checks
# Validate proposal structure
openspec validate $CHANGE_ID --strict
Additionally verify:
- Scenario coverage: Every requirement has at least one success and one failure/edge scenario
- Requirement completeness: All requirements use SHALL/MUST, all have clear subjects
- Task granularity: Each task could reasonably be completed in a single commit
- Task traceability: Every task maps to at least one requirement, every requirement maps to at least one task
- Cross-document consistency: Impact section matches actual spec deltas, proposal.md describes all spec delta changes
- Design rationale: If design.md exists, each decision has at least one
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
