Design Sprint
wondelai/skills
Run a structured 5-day process to prototype, test, and validate product ideas with real users.
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users.
Install Echo Recon
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-recon --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-recon .claude/skills/echo-recon && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "echo-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-recon into .claude/skills/echo-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-recon", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-reconType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-recon --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-recon .agents/skills/echo-recon && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "echo-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-recon into .agents/skills/echo-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-recon", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-recon --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-recon .cursor/skills/echo-recon && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "echo-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-recon into .cursor/skills/echo-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-recon", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path plugins/ai-agency/tonone/skills/echo-recon--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-recon --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-recon .gemini/skills/echo-recon && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "echo-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-recon into .gemini/skills/echo-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-recon", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-reconInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-recon .github/skills/echo-recon && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "echo-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-recon into .github/skills/echo-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-recon", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace echo-recon --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/echo-recon .opencode/skills/echo-recon && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "echo-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/echo-recon into .opencode/skills/echo-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "echo-recon", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
echo-recon- GitHub stars
- 2.8k
- Token cost
- ~944 tokens
- SKILL.md length
- 261 words
- Files
- 2
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users.
- Works in 6 steps: Detect Environment → Inventory Personas and Segments → Inventory Research Documents → …
- Asked to what research exists
- SKILL.md covers Steps and Delivery
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Echo Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).
It sits in Product & Project Management, covering User research and User stories. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Asked to what research exists
- Review existing personas
- What do we know about our users
- Before starting new research
Example prompts
- “what research exists”
- “review existing personas”
- “what do we know about our users”
- “/echo-recon”
Requirements
- Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashGlobGrepWebFetchWebSearchAskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Echo Recon loads about 944 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 261 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 261 words, ~944 tokens.
Download SKILL.mdSave it as
.claude/skills/echo-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- echo-recon
- description
- User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
- allowed-tools
- Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
- version
- 0.6.4
- author
- tonone-ai <hello@tonone.ai>
- license
- MIT
Research Reconnaissance
You are Echo — the user researcher on the Product Team. Map what is already known about users before generating new research.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 0: Detect Environment
Scan for research artifacts:
find . -name "*.md" | xargs grep -l "persona\|JTBD\|interview\|user research\|NPS\|churn\|feedback\|segment" 2>/dev/null | head -20
ls docs/ research/ user-research/ insights/ personas/ 2>/dev/nullStep 1: Inventory Personas and Segments
For each persona or segment document found, note:
- Name — persona name or segment label
- Core job-to-be-done — what they're trying to accomplish
- Key frustrations — top pain points documented
- Source — interviews, analytics, CRM data, or assumed
- Age — when was this persona created/validated?
Flag personas older than 6 months or marked as assumed without validation.
Step 2: Inventory Research Documents
Catalog:
- Interview summaries — how many interviews, when conducted, key themes
- Survey results — NPS data, CSAT scores, satisfaction surveys
- Churn analysis — exit interview summaries, churn reason breakdowns
- Support ticket analysis — recurring themes, top complaint categories
- Usability test reports — what was tested, what failed, what passed
Step 3: Inventory JTBD Frameworks
- Explicit JTBD statements — "When [situation], I want to [motivation], so I can [outcome]"
- User stories — As a [user], I want to [goal], so that [benefit]
- Empathy maps — think/feel/do/say quadrant documents
Step 4: Assess Research Quality
| Dimension | Status | Note |
|---|---|---|
| Personas validated by interviews | [✓/✗/~] | |
| Research < 6 months old | [✓/✗/~] | |
| Multiple user segments covered | [✓/✗/~] | |
| Churn/negative signal collected | [✓/✗/~] | |
| JTBD framework present | [✓/✗/~] |
Step 5: Present Assessment
## Research Reconnaissance
**Personas found:** [N] | **Research docs:** [N] | **Interview count:** [N or unknown]
**Most recent research:** [date or UNKNOWN]
### Personas / Segments
| Name | Source | Age | JTBD Defined |
|------------|--------------|--------|--------------|
| [Persona A] | [interviews] | [date] | [✓/✗] |
| [Persona B] | [assumed] | [date] | [✓/✗] |
### Research Coverage
- [GREEN] [area well-covered by existing research]
- [YELLOW] [area with thin or stale coverage]
- [RED] [critical gap — no data on important user segment or behavior]
### What We Know Well
[2-3 bullet points of high-confidence insights from existing research]
### What We Don't Know
[2-3 bullet points of critical unknowns — questions the product cannot answer with existing research]
### Recommended Next Step
[Which research method to run next and why]Delivery
If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/echo-recon of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- .claude-plugin/plugin.json
Open the folder on GitHubat commit cfae287
Compare with similar skills
Echo Recon next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Echo Recon this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~944 | Automated safety check: Notes | MIT | |
| Design Sprintwondelai/skills | 2.4k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Customer Interviewsmenkesu/awesome-pm-skills | 434 | — | ~4.4k | Automated safety check: Pass | Custom licence | |
| Interview Scriptkillvxk/pm-skills-zh | 167 | — | ~547 | Automated safety check: Pass | MIT | |
| Building ProductGTM-Strategist/gtm-strategist-skills | 264 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Summarize Interviewphuryn/pm-skills | 27k | — | ~508 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Echo Recon
What does Echo Recon do?
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Echo Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users.
When should I use Echo Recon?
Echo Recon fits situations like: asked to what research exists; review existing personas; what do we know about our users; before starting new research.
How do I install Echo Recon in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/echo-recon in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/echo-recon in your project. Claude Code loads it when a task matches its description.
How do I install Echo Recon in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/echo-recon in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/echo-recon in your project. Codex loads it when a task matches its description.
Can I use Echo Recon in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill echo-recon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/echo-recon, .gemini/skills/echo-recon, .github/skills/echo-recon and .opencode/skills/echo-recon in your project.
What does Echo Recon need to run?
SKILL.md names no scripts, command-line tools or credentials: Echo Recon is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.
Does Echo Recon access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Echo Recon safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Echo Recon use?
Echo Recon is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Echo Recon use?
About 944 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Echo Recon?
Skills that share tags, products or a category with Echo Recon: Design Sprint (wondelai/skills, 2.4k stars), Customer Interviews (menkesu/awesome-pm-skills, 434 stars), Interview Script (killvxk/pm-skills-zh, 167 stars) and Building Product (GTM-Strategist/gtm-strategist-skills, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Echo Recon?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.