Creator · thedotmack
Last updated · Sep 2, 2026
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Creator · thedotmack
Last updated · Sep 2, 2026
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Creator · thedotmack
Last updated · Sep 2, 2026
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Creator · thedotmack
Last updated · Sep 2, 2026
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Review then install
Install targets
Codex install prompt
Install the "knowledge-agent" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/knowledge-agent. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-knowledge-agent","task":"Install knowledge-agent","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill knowledge-agent
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
93K
95/100 Quality · 87/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill knowledge-agent
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill knowledge-agentDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-knowledge-agent/install
Agent should check
Copy prompt
Task: Use knowledge-agent in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install
Install command: npx skills add thedotmack/claude-mem --skill knowledge-agent
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-knowledge-agent/install
LLM text format
/api/skills/thedotmack-knowledge-agent/install?format=text
Find alternatives
/api/skills/search?q=knowledge-agent&limit=3
Agent prompt
Use knowledge-agent for this task. Review https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install, then install with: npx skills add thedotmack/claude-mem --skill knowledge-agentRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-knowledge-agent
LLM text
/api/registry/manifest/thedotmack-knowledge-agent?format=text
Install alias
/api/registry/install/thedotmack-knowledge-agent
Recommend
/api/registry/recommend?task=Use%20knowledge-agent%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: knowledge-agent description: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. ---
# Knowledge Agent
Build and query AI-powered knowledge bases from claude-mem observations.
## What Are Knowledge Agents?
Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally.
Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service".
## Workflow
### Step 1: Build a corpus
```text build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500 ```
Filter options: - `project` — filter by project name - `types` — comma-separated: decision, bugfix, feature, refactor, discovery, change - `concepts` — comma-separated concept tags - `files` — comma-separated file paths (prefix match) - `query` — semantic search query - `dateStart` / `dateEnd` — ISO date range - `limit` — max observations (default 500)
### Step 2: Prime the corpus
```text prime_corpus name="hooks-expertise" ```
This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.
### Step 3: Query
```text query_corpus name="hooks-expertise" question="What are the 5 lifecycle hooks and when does each fire?" ```
The knowledge agent answers from its corpus. Follow-up questions maintain context.
### Step 4: List corpora
```text list_corpora ```
Shows all corpora with stats and priming status.
## Tips
- **Focused corpora work best** — "hooks architecture" beats "everything ever" - **Prime once, query many times** — the session persists across queries - **Reprime for fresh context** — if the conversation drifts, reprime to reset - **Rebuild to update** — when new observations are added, rebuild then reprime
## Maintenance
### Rebuild a corpus (refresh with new observations)
```text rebuild_corpus name="hooks-expertise" ```
After rebuilding, reprime to load the updated knowledge:
### Reprime (fresh session)
```text reprime_corpus name="hooks-expertise" ```
Clears prior Q&A context and reloads the corpus into a new session.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for knowledge-agent, ready for a manual X post.
knowledge-agent: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want... 93.0K stars https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x
Listing + install path for knowledge-agent: https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x Install: npx skills add thedotmack/claude-mem --skill knowledge-agent
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent/audit)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "knowledge-agent" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/knowledge-agent. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-knowledge-agent","task":"Install knowledge-agent","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill knowledge-agent
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
93K
95/100 Quality · 87/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill knowledge-agent
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill knowledge-agentDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-knowledge-agent/install
Agent should check
Copy prompt
Task: Use knowledge-agent in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install
Install command: npx skills add thedotmack/claude-mem --skill knowledge-agent
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-knowledge-agent/install
LLM text format
/api/skills/thedotmack-knowledge-agent/install?format=text
Find alternatives
/api/skills/search?q=knowledge-agent&limit=3
Agent prompt
Use knowledge-agent for this task. Review https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install, then install with: npx skills add thedotmack/claude-mem --skill knowledge-agentRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-knowledge-agent
LLM text
/api/registry/manifest/thedotmack-knowledge-agent?format=text
Install alias
/api/registry/install/thedotmack-knowledge-agent
Recommend
/api/registry/recommend?task=Use%20knowledge-agent%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: knowledge-agent description: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. ---
# Knowledge Agent
Build and query AI-powered knowledge bases from claude-mem observations.
## What Are Knowledge Agents?
Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally.
Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service".
## Workflow
### Step 1: Build a corpus
```text build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500 ```
Filter options: - `project` — filter by project name - `types` — comma-separated: decision, bugfix, feature, refactor, discovery, change - `concepts` — comma-separated concept tags - `files` — comma-separated file paths (prefix match) - `query` — semantic search query - `dateStart` / `dateEnd` — ISO date range - `limit` — max observations (default 500)
### Step 2: Prime the corpus
```text prime_corpus name="hooks-expertise" ```
This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.
### Step 3: Query
```text query_corpus name="hooks-expertise" question="What are the 5 lifecycle hooks and when does each fire?" ```
The knowledge agent answers from its corpus. Follow-up questions maintain context.
### Step 4: List corpora
```text list_corpora ```
Shows all corpora with stats and priming status.
## Tips
- **Focused corpora work best** — "hooks architecture" beats "everything ever" - **Prime once, query many times** — the session persists across queries - **Reprime for fresh context** — if the conversation drifts, reprime to reset - **Rebuild to update** — when new observations are added, rebuild then reprime
## Maintenance
### Rebuild a corpus (refresh with new observations)
```text rebuild_corpus name="hooks-expertise" ```
After rebuilding, reprime to load the updated knowledge:
### Reprime (fresh session)
```text reprime_corpus name="hooks-expertise" ```
Clears prior Q&A context and reloads the corpus into a new session.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for knowledge-agent, ready for a manual X post.
knowledge-agent: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want... 93.0K stars https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x
Listing + install path for knowledge-agent: https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x Install: npx skills add thedotmack/claude-mem --skill knowledge-agent
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent/audit)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "knowledge-agent" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/knowledge-agent. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-knowledge-agent","task":"Install knowledge-agent","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill knowledge-agent
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
93K
95/100 Quality · 87/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill knowledge-agent
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill knowledge-agentDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-knowledge-agent/install
Agent should check
Copy prompt
Task: Use knowledge-agent in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install
Install command: npx skills add thedotmack/claude-mem --skill knowledge-agent
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-knowledge-agent/install
LLM text format
/api/skills/thedotmack-knowledge-agent/install?format=text
Find alternatives
/api/skills/search?q=knowledge-agent&limit=3
Agent prompt
Use knowledge-agent for this task. Review https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install, then install with: npx skills add thedotmack/claude-mem --skill knowledge-agentRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-knowledge-agent
LLM text
/api/registry/manifest/thedotmack-knowledge-agent?format=text
Install alias
/api/registry/install/thedotmack-knowledge-agent
Recommend
/api/registry/recommend?task=Use%20knowledge-agent%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: knowledge-agent description: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. ---
# Knowledge Agent
Build and query AI-powered knowledge bases from claude-mem observations.
## What Are Knowledge Agents?
Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally.
Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service".
## Workflow
### Step 1: Build a corpus
```text build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500 ```
Filter options: - `project` — filter by project name - `types` — comma-separated: decision, bugfix, feature, refactor, discovery, change - `concepts` — comma-separated concept tags - `files` — comma-separated file paths (prefix match) - `query` — semantic search query - `dateStart` / `dateEnd` — ISO date range - `limit` — max observations (default 500)
### Step 2: Prime the corpus
```text prime_corpus name="hooks-expertise" ```
This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.
### Step 3: Query
```text query_corpus name="hooks-expertise" question="What are the 5 lifecycle hooks and when does each fire?" ```
The knowledge agent answers from its corpus. Follow-up questions maintain context.
### Step 4: List corpora
```text list_corpora ```
Shows all corpora with stats and priming status.
## Tips
- **Focused corpora work best** — "hooks architecture" beats "everything ever" - **Prime once, query many times** — the session persists across queries - **Reprime for fresh context** — if the conversation drifts, reprime to reset - **Rebuild to update** — when new observations are added, rebuild then reprime
## Maintenance
### Rebuild a corpus (refresh with new observations)
```text rebuild_corpus name="hooks-expertise" ```
After rebuilding, reprime to load the updated knowledge:
### Reprime (fresh session)
```text reprime_corpus name="hooks-expertise" ```
Clears prior Q&A context and reloads the corpus into a new session.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for knowledge-agent, ready for a manual X post.
knowledge-agent: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want... 93.0K stars https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x
Listing + install path for knowledge-agent: https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x Install: npx skills add thedotmack/claude-mem --skill knowledge-agent
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent/audit)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "knowledge-agent" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/knowledge-agent. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-knowledge-agent","task":"Install knowledge-agent","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill knowledge-agent
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
93K
95/100 Quality · 87/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill knowledge-agent
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill knowledge-agentDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-knowledge-agent/install
Agent should check
Copy prompt
Task: Use knowledge-agent in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20knowledge-agent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install
Install command: npx skills add thedotmack/claude-mem --skill knowledge-agent
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-knowledge-agent/install
LLM text format
/api/skills/thedotmack-knowledge-agent/install?format=text
Find alternatives
/api/skills/search?q=knowledge-agent&limit=3
Agent prompt
Use knowledge-agent for this task. Review https://www.openagentskill.com/api/skills/thedotmack-knowledge-agent/install, then install with: npx skills add thedotmack/claude-mem --skill knowledge-agentRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-knowledge-agent
LLM text
/api/registry/manifest/thedotmack-knowledge-agent?format=text
Install alias
/api/registry/install/thedotmack-knowledge-agent
Recommend
/api/registry/recommend?task=Use%20knowledge-agent%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: knowledge-agent description: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics. ---
# Knowledge Agent
Build and query AI-powered knowledge bases from claude-mem observations.
## What Are Knowledge Agents?
Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally.
Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service".
## Workflow
### Step 1: Build a corpus
```text build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500 ```
Filter options: - `project` — filter by project name - `types` — comma-separated: decision, bugfix, feature, refactor, discovery, change - `concepts` — comma-separated concept tags - `files` — comma-separated file paths (prefix match) - `query` — semantic search query - `dateStart` / `dateEnd` — ISO date range - `limit` — max observations (default 500)
### Step 2: Prime the corpus
```text prime_corpus name="hooks-expertise" ```
This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.
### Step 3: Query
```text query_corpus name="hooks-expertise" question="What are the 5 lifecycle hooks and when does each fire?" ```
The knowledge agent answers from its corpus. Follow-up questions maintain context.
### Step 4: List corpora
```text list_corpora ```
Shows all corpora with stats and priming status.
## Tips
- **Focused corpora work best** — "hooks architecture" beats "everything ever" - **Prime once, query many times** — the session persists across queries - **Reprime for fresh context** — if the conversation drifts, reprime to reset - **Rebuild to update** — when new observations are added, rebuild then reprime
## Maintenance
### Rebuild a corpus (refresh with new observations)
```text rebuild_corpus name="hooks-expertise" ```
After rebuilding, reprime to load the updated knowledge:
### Reprime (fresh session)
```text reprime_corpus name="hooks-expertise" ```
Clears prior Q&A context and reloads the corpus into a new session.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for knowledge-agent, ready for a manual X post.
knowledge-agent: Build and query AI-powered knowledge bases from claude-mem observations. Use when users want... 93.0K stars https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x
Listing + install path for knowledge-agent: https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=x Install: npx skills add thedotmack/claude-mem --skill knowledge-agent
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent/audit)
[](https://www.openagentskill.com/skills/thedotmack-knowledge-agent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness