{"type":"session","version":3,"id":"f7ff335b-a2c3-4ae4-8ebb-adb485afc392","timestamp":"2026-04-11T21:01:21.811Z","cwd":"/home/alex/.pi/agent/skills/frontend"}
{"type":"model_change","id":"45d103ad","parentId":null,"timestamp":"2026-04-11T21:01:22.057Z","provider":"github-copilot","modelId":"gpt-5-mini"}
{"type":"thinking_level_change","id":"985eca89","parentId":"45d103ad","timestamp":"2026-04-11T21:01:22.057Z","thinkingLevel":"xhigh"}
{"type":"message","id":"96ebb00e","parentId":"985eca89","timestamp":"2026-04-11T21:01:22.076Z","message":{"role":"user","content":[{"type":"text","text":"IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Our cards repeat the same pattern everywhere and the tokens drifted from the design system. Extract reusable pieces and bring things back into alignment.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ..."}],"timestamp":1775941282070}}
{"type":"message","id":"ca6ca4f5","parentId":"96ebb00e","timestamp":"2026-04-11T21:01:29.617Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering front-end refactor**\n\nI'm focusing on the task of refactoring the front end by extracting reusable pieces and aligning design tokens. There might be a specific skill related to components or the design system. First, I want to list the directory for better organization. Should I use functions.ls, or go with the guidelines that prefer using the find command? 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There might be a specific skill related to components or the design system. First, I want to list the directory for better organization. Should I use functions.ls, or go with the guidelines that prefer using the find command? I think I’ll search for SKILL.md using find to get the necessary information.\",\"type\":\"summary_text\"}],\"type\":\"reasoning\"}"},{"type":"toolCall","id":"call_Bm0vro483OWWyYVtbhmoOluX|ankJozPQPaKcXILXdbnguUWCxtOLALaPpxg9VNP1NIUk7TQpFC5+7GGtk0brWi7ZFnS5QYTPLnxoSwqO2s0gIaKIbM5oU7/4f3knR1sqxQ6RrCuZ7Z5c95medQ+gczw2joU60xA44803zZcrFCSw4/zUlap6MfSkzAFGDc26P8X2Iujj0G0vlsg+Qn8yZPhcngaMY8TjbrJYLv247FpNzDwaJYnE54k6tui+dHjDZuph5s/kTZpViJubockAR//jKzwV6w077de5gEZIdKA9w2qQ1UXltoGr4jECeOvj+IDUUt31SaFSvSQEVkF1QxuuE3XO91/pnfeZo7s5vbsA8SPyRdMLezTnZHvZ1uiSR3p6j1HrQD0yLR7Wf+9HRl7mgQQ/P7zRkAsrmvX4+bmmbnagOwlNIWY=","name":"find","arguments":{"pattern":"**/SKILL.md","path":""},"partialJson":"{\"pattern\":\"**/SKILL.md\",\"path\":\"\"}"}],"api":"openai-responses","provider":"github-copilot","model":"gpt-5-mini","usage":{"input":776,"output":282,"cacheRead":2176,"cacheWrite":0,"totalTokens":3234,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1775941282117,"responseId":"5vLX12gcblEHdaCUPI+cFbkqktB62tchtPVH5edfuVt4+YYSzvMMfCYHSphQMt1vRiULp+FiCwqzirpQYdCjI5HJ9RlSolU6obtni4wCJOxTCpbgMm8FjpAC8O1MEpYI4EOTqdebn5fvb8HfgOgzrgt4dyLqfYj/N9WulcbNE2Itlx4TNhBdEZuvw16fzdSEQghXwsLAEGWYagjYZ/OJZwpJyvde9PZccXjx0ZzA8TCULb3tBCGlqCltHlTXK70gCRLHJLf7a4VSsodskjm1X3W5vPqdm3OkOsO0mxKWM/JUf/tOuiY2VTLpmxPVmlMpQKq+/p46JY+Y8mkrvUmdq8tzrs1Z3+/3b3AKhTWK0dMnHQb8PZ7XOY5aPlwDmSXFxzd+JW+DkvYL5ZQaEogJ5LDU94TfhP7yyw=="}}
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{"type":"message","id":"4d64da30","parentId":"5490fe01","timestamp":"2026-04-11T21:02:03.314Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Extracting necessary skills**\n\nI need to identify skills from a directory while ensuring to include the \"caveman\" skill. The task involves component extraction and aligning tokens with the design system. Skills I'm considering are extracting reusable pieces, design system alignment, normalization of tokens, auditing for token drift, and making final adjustments. The user mentioned I could choose multiple relevant skills, but I need to pick just two or three along with the required \"caveman\" skill. Let's finalize the selections!\n\n**Choosing skills and order**\n\nI’m narrowing down the skills to include: extract, frontend-design, and audit. The order will likely have to start with \"caveman\" since it’s specified to be loaded first. The user wants exactly three lines, but there’s a fine line between including necessary skills and listing too many. I think I'll include caveman, extract, frontend-design, audit, and normalize, but that could be more than three. I’ll have to keep the user’s needs in mind!\n\n**Selecting frontend skills**\n\nThe user wants me to choose existing frontend skills to load, likely between 3-4 options. There's the \"extract\" skill for reusable pieces, plus \"frontend-design,\" \"normalize,\" and \"audit\" for token alignment. I’m considering adding \"polish\" for UI finalization as well. However, since I always need to include the \"caveman\" skill, I’ll keep the list concise to follow the user's request for three lines. Being brief is crucial, so I'll make sure to adhere to that format!\n\n**Proposing skills and order**\n\nI’m suggesting the following skills: caveman, extract, frontend-design, audit, and normalize. For the order, I plan to go with caveman first, followed by audit, extract, frontend-design, and normalize. I want to keep reasons concise and explanatory in one short sentence. So for the lines, I’ll format it exactly as needed: \"Skills: ...\" followed by the comma-separated skills, then \"Order:...\" for the sequence, and finally \"Why:...\" with a quick explanation. Let’s finalize this!\n\n**Formatting skills and order**\n\nI need to keep each line without breaks and think about using a simple arrow like \"->\" instead of the unicode \"→\" for safety. The user specified that I should choose skills strictly from the directory, but I must also load the \"caveman\" skill. So, I'll list the relevant directory skills along with \"caveman.\" I want to make sure I craft the lines exactly as requested, paying close attention to capitalization and punctuation. Here we go with the final three lines! \n\nSkills: caveman, extract, frontend-design, audit, normalize  \nOrder: caveman -> audit -> extract -> frontend-design -> normalize  \nWhy: Audit to find drift, Extract to create reusable pieces, Frontend-design to realign tokens, Normalize to enforce consistency.","thinkingSignature":"{\"encrypted_content\":\"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\",\"id\":\"qOGd8CU9wYFZaviKfC6Al8wR6bHimCVJ4lzS4B+NHeM23zoJVv07p229ESnsFJniIW1Ui7eaRkufmLzFwO/EuvFB3YizvdbBSDYO/vmTAxIWlbg6eSoGApHqyA5rfbPJf4EW+xHBd41T4q84Xx8sXmOSHoxml1LJjdcaTKQ9UI13mZwrJw+hSJOjz0YPI+63H4tCT53+UMPy/Dm5dSI+uw0+LIjpyZ/8yErRFCfRpnceAy0l1Is+IrbxWqoXcmxTyMwWVamy62lbHgbc4eKxY1gU1GXdblKAxuDg/LPhLMOFq5a2GjBnDpKetvS+hLbwb7omdgjN4tl4uLhZx1PfIWGID7d2GIo5pCYMEEbs/igK5Q9hmoOCImRQkb7WSzsVP0ZMWCe7BJrobpmKT+PEw8lkJn79v5c=\",\"summary\":[{\"text\":\"**Extracting necessary skills**\\n\\nI need to identify skills from a directory while ensuring to include the \\\"caveman\\\" skill. The task involves component extraction and aligning tokens with the design system. Skills I'm considering are extracting reusable pieces, design system alignment, normalization of tokens, auditing for token drift, and making final adjustments. The user mentioned I could choose multiple relevant skills, but I need to pick just two or three along with the required \\\"caveman\\\" skill. Let's finalize the selections!\",\"type\":\"summary_text\"},{\"text\":\"**Choosing skills and order**\\n\\nI’m narrowing down the skills to include: extract, frontend-design, and audit. The order will likely have to start with \\\"caveman\\\" since it’s specified to be loaded first. The user wants exactly three lines, but there’s a fine line between including necessary skills and listing too many. I think I'll include caveman, extract, frontend-design, audit, and normalize, but that could be more than three. I’ll have to keep the user’s needs in mind!\",\"type\":\"summary_text\"},{\"text\":\"**Selecting frontend skills**\\n\\nThe user wants me to choose existing frontend skills to load, likely between 3-4 options. There's the \\\"extract\\\" skill for reusable pieces, plus \\\"frontend-design,\\\" \\\"normalize,\\\" and \\\"audit\\\" for token alignment. I’m considering adding \\\"polish\\\" for UI finalization as well. However, since I always need to include the \\\"caveman\\\" skill, I’ll keep the list concise to follow the user's request for three lines. Being brief is crucial, so I'll make sure to adhere to that format!\",\"type\":\"summary_text\"},{\"text\":\"**Proposing skills and order**\\n\\nI’m suggesting the following skills: caveman, extract, frontend-design, audit, and normalize. For the order, I plan to go with caveman first, followed by audit, extract, frontend-design, and normalize. I want to keep reasons concise and explanatory in one short sentence. So for the lines, I’ll format it exactly as needed: \\\"Skills: ...\\\" followed by the comma-separated skills, then \\\"Order:...\\\" for the sequence, and finally \\\"Why:...\\\" with a quick explanation. Let’s finalize this!\",\"type\":\"summary_text\"},{\"text\":\"**Formatting skills and order**\\n\\nI need to keep each line without breaks and think about using a simple arrow like \\\"->\\\" instead of the unicode \\\"→\\\" for safety. The user specified that I should choose skills strictly from the directory, but I must also load the \\\"caveman\\\" skill. So, I'll list the relevant directory skills along with \\\"caveman.\\\" I want to make sure I craft the lines exactly as requested, paying close attention to capitalization and punctuation. 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